Big Data Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the big data job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

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V Feest

Vicky

Feest

1015 Corine Pine

New York

+1 (555) 715 4703

1015 Corine Pine

New York

Phone

p +1 (555) 715 4703

Experience Experience

Los Angeles, CA

Big Data

Los Angeles, CA

Schamberger-Adams

Los Angeles, CA

Big Data

Creating web-based applications using ActiveXControls, JSP, Servlets
Ensuring client issues are resolved, either as an individual or with assistance from other Oracle lines of business e.g. Support and Development
Working with Java, C++ and C
Setting up the big data environment to perform the analysis
Developing and maintaining an up to date knowledge of Oracle products and services
Installing, configuring, and administrating Hadoop cluster of major Hadoop distributions
Responsible for development of new product and proof of concepts using Hadoop

Detroit, MI

Rohq-cti-big Data Linux System Admin

Detroit, MI

Huels Inc

Detroit, MI

Rohq-cti-big Data Linux System Admin

Interface and work closely with Project Managers on project implementations
Perform system performance monitoring and tuning; participate in capacity planning and systems configuration
Coordinate with users to ensure that optimum service is provided to the business
Self-starter who works with minimal supervision
Provide SME support for UNIX (Solaris/Aix/Linux) Operating system and Infrastructure servers within CIS HIA
Work with customers to plan and coordinate the implementation of moderate to complex system and software migrations
Perform relevant technical support activities relating to the installation and maintenance of operating systems, Project support and software tools in a quality and costeffective manner

present

Chicago, IL

Big Data Technical Lead

Chicago, IL

Weissnat-Legros

present

Chicago, IL

Big Data Technical Lead

present

Reviewing code and providing feedback relative to best practices, performance improvements etc
Designing and implementing product features in collaboration with business and IT stakeholders
Implementing the data management framework for the Data Lake
Providing alternative design solutions and project estimates
Working with distributed engineering teams and vendors in global delivery frameworks
Working closely with the Architecture group and driving solutions
Knowledge in engineering machine learning, feature engineering systems is a plus

Education Education

Bachelor’s Degree in Computer Science

University of Delaware

Bachelor’s Degree in Computer Science

Skills Skills

Excellent note taking and documentation skills - attention to detail is key
2+ years of hands on experience and strong and deep knowledge of Java application development
Demonstrated ability to earn trust from others, able to influence their teams
Experience in Designing scalable solutions
Proven ability to work cross functionally
Track record of delivering quantifiable results in various positions
Candidate should have good understanding of database and data structures
Strong track record of application development using BigData and Java
Knowledge of HBase, Spark is desired
Advocate web interaction design with a focus on consistency, usability, reuse, and performance

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Senior Big Data Resume Examples & Samples

Ability to establish trust and credibility at all levels within the organization
Self directed/driven, enthusiastic leader that thrives in a dynamic deadline-driven work environment
Willing to roll up sleeves and work alongside team
Ability to be entrepreneurial and innovative within a large corporate environment
Ability to work with partner organization towards mutual success
Ability to create and present complex concepts in a clear and concise fashion
Adaptability to changing assignments and the ability to oversee several large simultaneous technology projects through their entire SDLC
End to end experience building large data warehouses (>50TB) a must
In depth understanding and experience doing data modeling – 3rd normal form, dimensional modeling
Apt with performance tuning and logical physical database structures and technique required to build efficient high volume and high performing data warehouses
Experience in banking industry with deep understanding of banking data a must
Expertise with various traditional database technologies a must – Oracle, SQL Server, mysql, postgress, Sybase, Informix
Expertise in Shell, SQL and procedural languages like PL/SQL, Java, C, C++ a must
Expertise with ETL/ELT tools and strategies – Informatica, Data Stage, Ab-initio etc
Expertise with MPP technology (at least 1) a must– Vertica, Greenplum, Teradata, Aster Data, Exadata
Exposure to Big data technology – Hadoop and cloud computing – a plus
Experience building OLTP and real-time applications a plus
Experience establishing financial plans and managing budget
Oversee all phases of project from conception to completion
Ensure project is completed within budget and on time
Develop work-breakdown structures
Develop project tracking and variance reports
Provide risk assessment and flag potential issues with timely and effective escalation
Manage multiple vendors

Big Data Mobile Engineer Resume Examples & Samples

A portfolio and track record of building applications or production-quality big data infrastructure
Comfortable working in SQL and Java
Solid RDBMS operational knowledge and have worked with Hadoop/Hive
Basic familiarity with server-side web programming and server configuration
Strong Computer Science skills with the ability to analyze and propose algorithms based on complexity
Natural affinity for math, especially for statistics $
Experience with ETL tooling/coding
Experience with hadoop workflow tooling (e.g. Oozie)
Client-side programming experience

Big Data Lead Resume Examples & Samples

Partner with the solution vendor, global team based out of London and other CS IT groups to deliver solutions across the Vantage scope for Front Office CCO, trading supervisors and shared services staff with responsibilities for Unauthorised Trading surveillance
Understand the tools and technologies used by the project team and champion their usage to other departments in CS
Engage TIS to procure and build hardware for regional needs
Build solid relationships with key stakeholders including the vendor, CS Project Services team, various CS IT teams and key users of the application in the region
Ensure that all deliverables are delivered on-time and are aligned with the solution architecture & design
Where appropriate provide subject matter expertise to support the development and validation of other project deliverables across the team
Engage PTG and TIS to define and maintain a robust support model
Experience of integrating vendor applications into an enterprise
Have experience of agile project management
Show ability to be an effective team member working closely with colleagues from multiple teams and disciplines, bringing added value to the team
Problem solving and influencing skills
Ability to assimilate large amount of information and make judgments based on specified criteria
Ideally have experience in or exposure to technologies such as Hadoop or alternatively have experience of or large scale data centric solutions
LI-SA2*

Enterprise Hub Build Big Data Technical Lead Resume Examples & Samples

Lead professional band employee that will lead development activities to design, build, test, deploy, and maintain Hadoop-based ETL processes to support business needs across the GECC enterprise data foundation. Essential Responsibilities: "
Work with architecture team to develop wing to wing Hadoop data processing applications from data acquisition to end user provisioning to meet key business objectives
Lead the design, development, testing, and deployment of processing applications
Assist with vendor analysis and proof-of-concepts for new Hadoop technologies/solutions." Qualifications/Requirements: "
BA/BS degree with 5 years of core IT experience
2-4 years' experience in ETL design and development (i.e. Informatica, Talend, Pentaho)
Experience in all phases of the software development lifecycle
Experience with UNIX/Linux including basic commands and shell scripting
Must have coding knowledge in Hadoop platform tools i.e. MapReduce, Hive, HBase, Pig, Flume, Scoop etc
Experienced with the agile development methodology." Additional Eligibility Qualifications: Desired Characteristics: "
Ability to work independently in a fast-paced environment
Experience in On/Offshore Development Model
Experience in the Finance and/ or Banking sectors
Experience with programming / scripting languages such as Java, Python, PHP, R, etc."

Big Data Technical Lead Resume Examples & Samples

8+ years of experience with developing Web-based solutions or performing system integration using Java, JEE, or other object-oriented (OO) language
Experience with object-oriented programming (OOP)
Experience with service-oriented architecture (SOA) development
Experience with all phases of the software development life cycle (SDLC) using agile methods
Ability to design, develop, and communicate complex software solutions
Ability to design and implement RESTful Web services
Ability to quickly learn technical concepts and communicate with multiple functional groups
Experience with XML technologies, including XML Schema, XSLT, XQuery, or XPath
Experience with Hadoop, HBase, Accumulo, Solr, Pig, Zookeeper, Storm, or Kafka
Experience with scripting languages, including Python, JavaScript, Ruby, UNIX, or Linux shell
Experience with servlet containers, including Apache Tomcat, JBoss, or Jetty
Experience with browser application frameworks, including Ajax, jQuery, AngularJS, or Node.js-Ability to manipulate a range of structured data formats, including XML, JSON, or CSV and unstructured data formats, including ASCII or binary
Possession of excellent analytical and problem solving skills
BS degree in CS, Computer Engineering, EE, or a related technical field preferred

Technical Intern Big Data Resume Examples & Samples

BS, MS, or PhD students in Computer Science or related technical discipline (or equivalent)
Strong background in Computer Science, good at data structure, algorithms, and software design
Familiar with C/C++, Java and major script languages (e.g, bash, Python, etc.), and familiar with Hadoop and cloud computing architecture would be a great plus
Familiar with Linux system
3-days per week (or equivalent) and over six month internship period

Big Data Partner Business Manager Resume Examples & Samples

8-12 years of selling experience at end-user account or partner level
Experience selling to partners in a complex environment
Thorough understanding of Information Management & Governance / B.I industries, competing vendors, and the channel. Dimensions include competitive positioning and business models
Thorough understanding of HP's organization & operations, including key business rules, and alignment with HP GBU go-to-market strategies, partner segmentation, key programs & initiatives, structure and business model
Thorough understanding of HP Big Data Platform / Solutions business. Able to communicate the strengths of HP's offerings relative to competition, and overcome objections
Effectively sells HP offerings by building strategic relationships with partner decision makers; aligning partner and HP processes; and promoting HP programs and offerings
Develops strategic plans with the partner to grow the size of the business and HP's share

HP Big Data Account Executive Resume Examples & Samples

Responsible for creating and driving their sales pipeline
Capture leads outside of specialization and use closed-loop lead management to ensure assignment and follow-up by others
Maintain knowledge of competitors in account to strategically position HP's products and services better
Use specialty expertise to seek out new opportunities and expand and enhance existing opportunities to build the pipeline in and drive pursuit
Provide support to Account managers and provide input regarding business development and solution expertise
Development of quota objectives and future direction for defined product category
Some specialists also responsible for selling outsourcing deals
Establish a professional, working, and consultative, relationship with the client, up to and including the C-level for mid-to-large accounts, by developing a core understanding of the unique business needs of the client within their industry
May invest time working with and leveraging external partners to deliver sale
For Services Consultants: Focus on growing contractual renewals for mid-to-large accounts with more complexity, to higher-total contract-value renewals
Directs or coordinates supporting sales activities
Demonstrated achievement of progressively higher quota, diversity of business customer, and higher level customer interface
Extensive selling experience within industry and on similar products
2-3 years of product sales in the desired specialty
Is considered an expert in knowledge of products, solution or service offerings as well as competitor's offerings to be able to sell large solutions
Understands the industry and market segment in which key accounts are situated, and integrates this knowledge into consultative selling
Understands and applies program/project management methods and processes to define, plan, cost, resource, track and ensure successful pursuit
Understands the role of IT within area of specialization and how HP's solutions differentially address specific vertical industry challenges as well as their cross-segment capabilities
Cultivates & maintains positive relationships with customers to ensure account retention & growth, and position HP as the preferred vendor for meeting all business needs
Establishes a professional working relationship, up to the executive level, with the client
Demonstrates high service or product knowledge and professionalism in researching and sharing service-related information with account teams and customers
Deep knowledge of products, solution or service offerings as well as competitor's offerings
Understands how to leverage HP's portfolio and change the playing field on our competitors
Understands and sells high value software solutions
Understands selling of services sales
Maintains expertise on IT at all levels - new applications, maintenance, typical budgets of the CIO's, typical objectives, measures, metrics

Big Data Account Executive Resume Examples & Samples

Develops long term sales pipeline to increase HP's market share in specialized area
Use specialty expertise to seek out new opportunities for customer value by expanding and enhancing existing opportunities to build the pipeline in and drive pursuit in specialty area
Provide support to the Account managers. Set direction for business development and solution replication
Creates and grows reference customers
Sell complex products or solutions to customers on a partnership basis. May act as a dedicated resource to a few strategic accounts
Services specialists may also be responsible for selling small outsourcing deals
For Services Consultants: Focus on growing contractual renewals for large accounts with more complexity, to higher-total contract-value renewals
Establish a professional, working, and consultative, relationship with the client, including the C-level for mid-to-large accounts by developing a core understanding of the unique business needs of the client within their industry
Maintain and use overall cross-portfolio knowledge to support account leads with integration of solutions
Contribute to enduring executive relationships that establish HP' consultative professionalism and promote its total solution capabilities
Maintains broad market and competitor knowledge to ensure credibility with Customer Executives
Directly related previous work experience
Demonstrated achievement of progressively higher quota diversity of business customer, and higher level customer interface
Viewed as expert in given field by company and customer
Typically 12+ years of related sales experience
Is considered a master in knowledge of products, solution or service offerings as well as competitor's offerings to be able to sell large, complex solutions
Balance strategic and tactical pursuits to optimize coverage and develop a predictable revenue stream
Uses C-level engagement skills in collaboration with account leads to offer value-add solutions to the client
Utilizes Siebel as an expert and accurately forecasts business
Successful partner engagement experience. Works effectively with our partners to drive additional revenue
Maintain knowledge of industry trends, associated solutions, and key partner/ISV solutions

HP Big Data Platforms Account Executive Resume Examples & Samples

Typically 8-12 years of advanced sales experience
Account planning and accurate account revenue forecasting skills
Collaborates with management and sales teams in shared accounts to ensure seamless integration of specialist sales with other sales activities
Demonstrates leadership and initiative in successfully driving specialty sales in accounts - prospecting, negotiating and closing deals
Leverages services as part of strategic product sales
Maintain expertise of industry trends, associated solutions, and key partner/ISV solutions

Big Data Intern Resume Examples & Samples

An undergraduate student working towards a four-year degree in Computer Science, Computer Engineering or related Engineering field of study
Experience with Database architecture and structures preferred
Experience with SQL Server or MySQL preferred
Experience in BI (Any product) reports and dashboard generation is a plus
Programming experience with Python, Visual Basic (V6/.net) languages a plus
Experience on Vertica/Tableau/SAS is a plus
Documentation discipline required in a shared code / team programming environment
An aptitude for programming demonstrated by coursework or previous programming experience
Ability to perform well under pressure, meet deadlines, and manage multiple tasks simultaneously
Strong communication and people skills
Ability to solve complex system level engineering problems
Demonstrated creativity in solving complex programming challenges in a team environment
Strong sense of ownership, follow-through, and orientation towards results
Self-starter who can quickly contribute with little or no direction

Big Data Presales Engineer Channel Resume Examples & Samples

Technical University or Bachelor's degree; advanced degree preferred
Typically 12+ years experience in technical consultative selling and account management
Technical and solutions experience in appropriate industry
Experience in vertical industry preferred
Demonstrates expert knowledge of HP's latest technology & solutions
Expert in competitive solutions knowledge
Leverages HP solutions to support customer IT strategic directions, creating extensive customer business value
Applies deep understanding of technical innovations & trends to solving customer business problems
Strong credibility with HP's business units and account teams based on history of solid results and contributions
Applies productivity-enhancing tools and processes Off-shoring, Resource Management
Establishes thought leadership in technical specialty area with customers
Demonstrated ability to work as the lead for large complex projects at a Regional or global level
Has a deep understanding of HP's product & service capability for multiple BU's
Has demonstrated extensive hands-on level skills with a broad range of the technology
Demonstrates skilled use of financial and capital investment concepts in justifying solutions that create business value for the customer
Utilizes deep knowledge of customer value chain and business requirements to create and propose solutions
Persuasively communicates the value of the solution in terms of financial return and impact on customer business goals
Understands business metrics and drivers for multiple levels of customer management and appropriately tailors communications to demonstrate value
Extensive level of industry acumen; keeps current with trends and able to converse with client on issues and challenges at multiple levels of customer management
Demonstrates strong communications skills with customer management, as well as C-level executives
Leverages deep understanding of the competition - both positioning strategy and technology - to create competitive advantage for HP

Big Data Account Executive Vertica Resume Examples & Samples

Prior selling experience includes multiple, diverse set of selling responsibilities
3-5 years' experience in the desired specialty
Know strengths and weaknesses of key competitors in account and how to leverage this knowledge in the account
Considerable knowledge of the customer's infrastructure and architecture
Demonstrates leadership and initiative in successfully driving services sales in accounts - prospecting, negotiating and closing deals
Demonstrates leadership and initiative in successfully driving full portfolio including hardware, software and services needed for the customer's requirements
Strategic planning on a business development level; can build an effective business case reflecting the value of an appropriate strategy
Excellent project oversight skills
Works with the account team to build an effective account plan and strategy to drive incremental revenue in the account
Demonstrates the ability to leverage HP's portfolio of products and services to change the playing field against our competition

Account Executive Big Data Platform Resume Examples & Samples

University or Bachelor's degree; Advanced University or MBA preferred
Considered a mentor of selling strategy, including designing strategy
Project management skills required
Uses expertise in specialty, consultative solution selling and business development skills to align the client's business needs with solution
In-depth knowledge of client's business, organizational structure, business processes and financial structure
Understand and sells high value software solutions
Understands the leverage of services as part of strategic portfolio of products. Promotes services as part of all strategic opportunities

HP Big Data Account Executive Resume Examples & Samples

Develop and implement account plans to achieve defined sales targets
Identify and qualify leads, and generate new business opportunities in order to achieve revenue quota on a quarterly and annual basis
Build and maintain a robust pipeline of at least 3x revenue target
Build strategic working relationships with clients, maintaining a high level of face to face contact
Manage an integrated sales team; liaison with clients, inside sales, partners, channels, sales engineers, professional services, finance and legal to drive a prospect to close
Prepare and present sales proposals and presentations to new and existing clients
Negotiate and close deals following the company’s practices and processes
Ensure orders meet all legal and financial requirements, and manage receivables
Monitor competitors and maintain client database
Maintain a high level of relevant industry knowledge

Big Data Resume Examples & Samples

Focus is working with Big Data/Analytics ISVs and Cisco VARs
North America Based Role – largest focus is in the San Francisco bay area
Comfortable in using remote technology (TelePresence, WebEx, etc..) to create, develop and refine Partner Relationships
Travel: Estimated 30-40%
Exceptional CxO level communication
Exceptional listening & consulting skills
Experience in a Consultative role 5+ years
Experience designing computer & network systems that allow customers to implement systems for their technology business applications
Understanding of how to leverage customers’ existing data infrastructure to create actionable insights and enable business teams to answer critical business questions
At least 5 years of experience in Solution/Systems Architect Design work
Hadoop experience is required
Experience with MapR, Cloudera, Hortonworks, or some other Hadoop Distribution vendor is required
Experience working with databases/applications is required, such as Oracle, IBM, SQL, etc.
Background in data center technologies, Cisco UCS, Linux, and Storage
Working knowledge with NetApp, EMC, IBM, and SAP
Certifications in - Cisco, IBM, HP, NetApp, EMC, VMWare, etc. are a plus
Education - B.S. in information systems, computer science, information technology or a related discipline
Programming background a plus
Ability to work as part of a cross-cultural team including flexibility to support multiple time zones
Proven ability to work cross functionally
Track record of delivering quantifiable results in various positions
Demonstrated ability to earn trust from others, able to influence their teams

Big Data Modeller Resume Examples & Samples

Work closely with a product engineering team to identify and answer important product questions
Answer product questions by using appropriate statistical techniques on available data
Communicate findings to product managers and engineers
Analyse and interpret the results of product experiments
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams

Robert Half Technology Account Executive Cs Big Data Resume Examples & Samples

Business development: Develop and grow your own client base by marketing our services for contract staffing solutions; market to clients via telephone and network with C-level executives and key decision makers to staff Big Data and Business Intelligence professionals
Placement activities: Select well-matched candidates to fulfill client job orders and maintain on-
2+ years of business to business development experience and/or working in an IT related field is preferred
Must have a strong desire to build a career in business development by using proven closing
Must have a proven track record of success and be a competitive and self-motivated individual

Lead Engineer, Big Data Resume Examples & Samples

Serve as a technical lead on our most demanding, cross-functional projects
Ensure the quality of architecture and design of systems
Lead the design, get hands dirty and write code, and ultimately deploy successful enterprise-level systems that can be leveraged for a broad set of business use cases
Functionally decompose complex problems into simple, straight-forward solutions that demonstrate significant creativity and high judgment
Work effectively with product development and engineering teams across multiple geographies
Fully and completely understand system interdependencies and limitations
Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices
Diving deep into open source technologies like Hadoop, Hive, Pig, and Hbase,to fix bugs and performance bottlenecks
Leverage knowledge of internal and industry prior art in design decisions
Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members
Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience
15-20+ years of relevant, broad engineering experience
Core competencies in Java, plus Hadoop (or other Map Reduce implementations)
Thrives on big data challenges of large volumes, at high velocity, with extreme variability
Experience with a variety of traditional data technologies including RDBMS, ETL, Data Warehousing, BI, OLAP, OLTP
Experience with new generation technologies, such as Hadoop, HBase, Hive, Cassandra, MongoDB, etc
Strong knowledge of data structures, algorithms, enterprise systems, and asynchronous architectures
The ability to lead a team of engineers to solve big problems with significant ambiguity

Big Data Analysis Experts Resume Examples & Samples

1) Sound knowledge in Big data statistics analysis, model recognization, trend analysis, etc
2) Familiar with Hadoop, Hive, Spark and machining learning technical
3) Familiar with at least one of the following SPSS，SAS，Matlab、Mahout
4) Have project experience with Hadoop、Spark technology, familiar with mapreduce algorithm
5) Familiar with Java/J2EE、C++
6) Familiar with Energy & Utility, Chemical & Petro, Manufacturing Industry etc as a strong plus
1) Master or PhD in mathematics system theory and automatic control or related
2) Fluent oral & written english
3) Open minded, good team work skill
4) Proactive in leaning

Director, Big Data Resume Examples & Samples

Design and build scalable infrastructure and platform to collect and process very large amounts of data (structured and unstructured), including streaming real-time data
Architect the data pipeline to meet the needs of an technology centric company
Hands-on management and mentoring of a team of Data Platform Engineers
Collaborate with key stakeholders to understand, document and prioritize key technology decisions, processes and business needs for data and intelligence. This will require an extensive technical background and experience with working on big data in a highly distributed environment
Work with business analysts and business stakeholders to help define technology needs for the logging, processing, storage and presentation of data in a manner that delivers business value
Liaise with other development and reporting teams through the implementation process of new reporting systems
Create, define and deliver new processes that will enable better development efficiencies
Own a road map to automate and key reports in a consistent and scalable fashion
Expert in Hadoop Map/Reduce development skills. Extensive Hands-on Hadoop and columnar system programming is must
3+ years working experience in Shell programming, HDFS, Pig, Hive, HCatalog, Flume, Sqoop, ZooKeeper and Hbase, one or more MPP columnar databases
2+ years working experience on ETL technologies
Experienced with visualization technologies; D3, Raphael, Protovis & Highcharts
Working knowledge of statistical tools, R will be first preference
Experience in real-time analytics and logging
Basic knowledge of LAMP stack is must
Programming experience with Java, & Python/C++ is must
Significant hands-on experience with technologies in the Hadoop ecosystem (HDFS, Hive, Pig, MapReduce, etc.)
Strong experience with Java, Python, SQL, shell scripting
Proficiency with cloud services like EC2, S3, EMR
Experience with NoSQL technologies like HBase or Cassandra
Experience with a variety of data formats and protocols such as JSON, Avro
Experience with tools like Jenkins, Puppet, Ansible
Familiarity with performance/scalability tuning, algorithms, and computational complexity

Big Data Consultants & Architects Resume Examples & Samples

At least 4 years experience in Big Data project using Hadoop, Map Reduce or NoSql technologies
At least 4 years experience in systems integration, information management business analytics and architecture
At least 4 years experience in a data warehouse environment and knowledge of existing and emerging data integration approaches
At least 4 years experience in solution architecture in traditional information management
At least 4 years experience in integration of Big Data to a traditional data architecture
At least 4 years experience in data architecture, designing and developing logical data models
At least 4 years experience in programming on high-scale or distributed systems (such as Hadoop)
At least 3 years experience in high performance distributed parallel file system storage technology such as GPFS, GFS, CloudStore, HDFS or similar
Dutch: Fluent

Director of Big Data & Predictive Modeling Resume Examples & Samples

Provide vision and leadership to a team of world-class modelers and further expand team by recruiting and mentoring high-caliber staff
Develop the next-gen predictive modeling strategy and roadmap for the company leveraging big data industry advancements
Provide thought leadership for the development of innovative analytic solutions
Be the external face of predictive modeling advancements at Humana, through publications and conference presentations
Maintain technical expertise. Be available as a SME on predictive modeling and clinical analytics for your team and customers
Identify and develop solutions to key strategic business problems through state-of-the-art big data modeling and analysis methods
Generate actionable insights through decision centric models to help address key business issues around improving health outcomes
Collaborate with internal stakeholders requiring advanced analytics and predictive models to drive their respective initiatives
Guide the implementation of the results of modeling and analysis through partnership with Clinical Operations, IT and other organizational entities
Oversee day to day operations. Achieve performance metrics for a fast paced environment
Masters in Statistics, Mathematics, Public Health, Informatics, Engineering or related fields
Prior experience leading a predictive modeling or data analytics team
Outstanding track record with progressive analytical leadership experience
Proven track record in providing analytical solutions to unstructured business problems using data mining and predictive modeling
5+ years of experience in developing advanced predictive models
Entrepreneurial with a keen analytic mind, who thrives in a fast-paced environment
Expert in statistical methods andbig data environments like Hadoop
Outstanding analytical skills to appropriately translate Humana’s business opportunities and needs into big-data solutions
Strong written and oral communication skills. Proven ability to effectively communicate results of statistical models to broad audience, including senior leadership
Passion for thinking outside the box to solve difficult/unidentified problems
PhD. in Statistics, Mathematics, Public Health, Informatics, Engineering or related fields
Acknowledged and visible industry expert in predictive modeling and advanced analytics
Author of peer reviewed publications in predictive modeling/ data mining
Proven successes in the leadership of Big Data mining and modeling initiatives

Data Engineer Big Data Resume Examples & Samples

Work alongside the Solution architect, customer insights team to deliver projects using big data technologies, including Hadoop
Some amount of Hadoop installation, configuration, and administration (including problem solving where necessary)
Development of analytic solutions and programs using MapReduce
Support customer insights and analytics teams delivering complex data structures and productionised reporting

Senior Systems Analyst Big Data Resume Examples & Samples

Participates in delivery of fully tested applications or components of more complex applications for System and Acceptance Testing
Leverage corporate and IT standards and directives while embracing the future direction of Information Technology to successfully execute technical efforts
Performs application and technical problem solving
Participates in creation and modification of processes, technical designs, and solutions as needed
Participate in Code Reviews to ensures code is compliant with IT best practices
Conduct formal Integration Testing (IT) and ensure testing is compliant with the approved integrations test plan and expected results. Raise issues as appropriate
Assist in creating implementation plan for technical deliverables
Supports implementation of technical solutions and production support as needed
Collaborate with other technology and development staff to provide solution alternatives that ensure key deliverables are achieved
Participate in development of business cases that leverage the appropriate level of qualitative and quantitative information support business objectives
Document the technical requirements, design, and testing information to ensure quality output that meets stated business needs
Identify and support resolution of risks that could impact ability to deliver results within the stated objectives
Understand and be able to identify the effect of change (regulatory, market or TIAA-CREF internal) on business processes, IT solutions and tools
5 or more years professional working experience in IT
Hands on experience with Big Data, specifically Hadoop
Hands on experience with Splunk
Problem Solving/Analytical Identifies the root cause of the problem and develops solutions to resolve the problem
Leverages knowledge sources effectively
Business Knowledge/Analysis Proactively generates relevant ideas for new and improved use of technology
Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, or other related field

Big Data Development Manager Resume Examples & Samples

Actively participate in hiring talented people
Assist in the career development of others both on and outside your team, mentoring individuals and helping other managers guide the career growth of their team members
Play a critical role in developing the broad plan for the business including business targets and resource requirements
Help form long-term technical and business strategy and goals
Bring a deep understanding of software development in a team, software development methodologies and scheduling, a track record of shipping software on time and services development to this high-accountability role
Operate services to deliver both high quality and high availability
Technically deep enough to engage with customers and architects to define solutions and roadmaps
Proven track record of shipping high quality software on time
Minimum of 10 years of software development plus at least 5 years spent in a leadership/management role
Proven track record of building and managing high performing engineering teams
Familiarity with the media business

Big Data Team Lead Resume Examples & Samples

Lead the Ocean team on the site, managing and co-ordinating with the global team on workslate, plans, deliverables. Manage all HR and development activities for the team
Work as part of our Global Platform team on Administering, Upgrading, Troubleshooting and generally acting as owners of our Netezza, Hadoop, Linux, Messaging and associated software and hardware stack. Be a Subject Matter Expert in at least 2 of these technologies
Partner with Business Analysts and internal customers to improve our data coverage and analytic capabilities
Continuously improve the performance of features; analyze, diagnose and correct performance problems
Liaise with product area developer and support teams
Develop project plans, including accurate timelines, project documentation, and performance benchmarks for the development of new features
Strong and Demonstrated Team Leading and Management skills

Big Data Platform & Infrastructure Build Director Resume Examples & Samples

Responsible for project planning and implementation of all aspects of infrastructure platform technology, including computer and storage hardware as well as operating systems, Big Data Platform technology stack, web, middleware, MPP database, Analytic tools, and virtualization
Provide day-to-day support to application development team and users during the project lifecycle
Ensure the environments are built to standards and successfully transitioned over to production operations team
Track and monitor daily workload to ensure user expectations are met
Manage day-to-day decisions, including request priorities, work assignments and work sequencing; and interfaces with senior management to report on project and program milestones and to present project needs
Collaborate with architecture and engineering team in the establishment of strategic direction, standard patterns and actively participates in development and execution of strategic initiatives and engineered repeatable patterns
Streamline processes, drive efficiency, and environment consistency
Manage the capacity, load configuration of platforms and systems and make recommendations for purchase or upgrade of compute and storage platforms
Serve as subject matter expert in IT infrastructure platform technologies, and recommend infrastructure platform technologies to be deployed for operational efficiencies
Promote and cultivate team spirit and culture across the global team built on open communication, collaboration, teamwork, trust and integrity
15+ years of in-depth experience implementing, configuring, and optimizing IT infrastructure platform technologies
5+ years of experience managing teams responsible for Data Center infrastructure, Hardware Architecture, Linux Operating systems, with capability to develop and deploy large scale multi-tiered applications and experience managing large server farms
2+ years of experience working on deployment and/or engineering of Big Data technologies, Data Analytics and/or Data Warehousing environments
5+ years of managerial experience required
Experience using enterprise configuration management and automation tools such as CFEngine, Puppet, Ansible, and StackIQ
In-depth familiarity with Big Data and advanced analytics technologies such as Hadoop, Greenplum, and Platfora, Cloud computing paradigms, including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS)
Experience with automation tools for large scale infrastructure and platform provisioning
Experience working at mix of large organizations similar to JPMorgan and successful startups, where innovation, collaboration, customer service, and results are paramount
Excellent communication and relationship building skills with the ability to present and translate complex information to internal teams and leaders in relevant business terms
Bachelor’s degree in technology related field required; Master’s degree strongly preferred

Big Data Virtualization Server Resume Examples & Samples

Rich experience in database development & QA
Strong C/C++ or Java development skills
Strong Linux/UNIX programming and administration skills
Good experience of different databases, such as Oracle, Teradata, MS SQL Server, Sybase, and etc
Rich experience of customer support
Pro-active and Self-driven
Good team player and English communication

Big Data Architecture Engineer Resume Examples & Samples

Providing insight into next generation large scale, massively distributed, fault-tolerant software systems and infrastructure, responsible for identifying and leading up efforts surrounding large scale, massively distributed, fault-tolerant software systems and infrastructure,
Reviewing and influencing new and evolving design, architecture, standards, and methods for large scale operating services and systems
Working on architectures and helping build business focused Big Data & analytical solutions surrounding large scale, distributed software systems and data analytics
Employing statistical techniques to promote the enhancement of data analytics in complex multidisciplinary fields
Defining the best practices for large clusters and deployment, gathering requirements and defining the scope of projects,
Defining and setting the standards for big data technology adoptions across CS,
Engineering and building large scale, massively distributed, fault-tolerant software systems and infrastructure – focused on data processing and analytics,
Building solutions for business needs on top of the large scale systems
Deploying and testing relevant technologies, participating in software and system performance analysis and tuning, service capacity planning and demand forecasting,
Solving problems of scale and complexity
Ability to align technologies with business needs in order to solve big data problems and develop innovative big data & analytical solutions
Past performance working with and architecting large scale, massively distributed, fault-tolerant software systems and infrastructure
Self-motivated and comfortable operating in a global team interaction mode
Have a “whatever it takes” attitude to meet the engineering challenges
Strong documentation and communications skills with the ability to explain complex issues and designs in a clear & concise fashion
Programming - Python, Java, C, C++
OS and Hardware - Detailed knowledge of Enterprise Linux for high performing environments and demonstrable experience with hardware platform tuning
Experience in Pandas, NLTK, Matplotlib, NumPy,R an advantage
MapReduce, Hadoop, Cloudera, IBM Big Insights, Hortonworks or MapR
Experience in some of the following relational databases: MySQL, MS SQL Server, Oracle, DB2. Proficient Experience in some of the following NoSQL DB's: HBase, SAP HANA, HDFS, Cassandra, Accumulo, MongoDB, CouchDB, Vertical,
Proficient statistical/quantitative skills - cluster analysis, text mining, applied machine learning experience, mathematical modelling

Big Data Resume Examples & Samples

Hadoop and Vertica experience (3 years at least) and/or similar technologies
Knowledge and experience in Hadoop and Vertica – infrastructure, configuration, installation and administration
Experience in enterprise data & analytic disciplines such as Enterprise Architecture, Enterprise Data Management, Enterprise Data Warehousing, Big Data Analytics including Hadoop and Vertica
Experience in Solution Development Life Cycles, especially as it applies to large-scale, complex data-centric programs and projects, from business strategies and requirements data design, data sourcing, data transformation, analytics design, development, testing, and implementation
Knowledge in Querying and creating reports from Hadoop and Verica
Experience in migrations from MSSQL to Big Data platforms
Maintenance - backup and recovery
Monitoring and Alerts on Big Data platforms
Design, architect and implement new features for company needs
Performance tuning and best practices
More than 5 years in production environments with large scale
Experience with Open Source Big Data technologies, including Hadoop and Vertica (knowledgeable with Java)

Big Data Development Engineer Resume Examples & Samples

1+ years of big data related development experiences
Strong coding skill in Java or Python
Deep knowledge and project experiences in big data technologies like Hadoop, Hive, Spark, MongoDB, Redis etc
Familiar with relational databases like Oracle, DB2, MySQL
Knowledge and experience in data mining, familiar with R, SPSS or SAS is a plus
Working experience in eCommerce area is a plus
Major in computer science or related fields, good education background
Fluent English communication skill
Good at teamwork, problem resolving
English: Intermediate

Big Data Lead Resume Examples & Samples

Develop ETL processes using Informatica
Develop automated solutions for data loading using Informatica, ControlM and Greenplum
Interface with technical and business teams to understand the data requirements
Work with Infrastructure teams in the deployment and migration of code to Production environment
Collaborate in technical discussions involving partitioning and distribution of data in Greenplum
7+ years experience working with Informatica for designing, implementing, testing, migrating, deploying and managing ETL solutions
7+ years hands-on experience with Oracle or other major Database technologies
7+ years working in Data Warehouse and other such environments where there is a focus on performance tuning for high volume data loading and transformation
Strong proficiency in PL/SQL
Experience in ControlM or other such scheduling tools
Experience in designing relational data models
Experience working in Unix environments with basic understanding of shell scripts
Greenplum experience (and understanding of utilities such as gpload / gpfidst and psql) a plus
Strong work ethic, quick-learner, self-starter who is creative with a 'can-do' attitude and attends to detail
Undergraduate or advanced degree in Computer Science or other engineering discipline

Big Data Resume Examples & Samples

Act with superior customer focus in mind as an integral member of the Microsoft sales teams in generating excitement to fill sales pipeline, accelerate technical sales cycle and secure technical closure using deep technical expertise in the core domain as well as in adjacent technologies, serving as interface between the customer and both Microsoft Consulting Services (MCS) and partners, positioning scope and guiding them on the development of optimal technical solutions to improve the customer’s business
Provide pre-sales technical and architectural support, translating customer’s requirements, to enable customers, MSFT services and partners to assist in technical objection handling, architecture, demonstrations, deployment and consumption guidance of the Microsoft Data Platform and Cloud technologies and corresponding solutions (both 1st and 3rd party solution for Business Analytics and Modernization/Migrations scenarios)
Own and drive technical aspects of pre-sales opportunities from lead generation through to deployment and consumption by driving technical presentations, demonstrations, Architectural Design Sessions, Proof of Concepts and Pilots, leveraging partners or MCS as needed
Assist customers with running assessments to gain knowledge of their environment to support optimization and opportunity identification for upgrade, migration, consolidation. (Microsoft Assessment and Planning Toolkit (MAP) or other platform mapping tools)
Demonstrates the business value of related solutions based on an understanding of the customer’s enterprise IT architecture, customer Business priorities and the competitive landscape
Maintain strong relationships with account team members, serving as the technology data platform subject-matter expert (SME) within these accounts and assigned geography
Maintain and expand technical and sales skills, deployment, consumption capabilities as well as relevant industry, competitive, and market knowledge - mobile, social, cloud, big data, video and unified communications. Primary focus on: Azure, Azure Machine Learning, Azure Stream Insights, Predictive Analytics, R, SQL Server. Secondary deep technical focus on some of the following technologies: Microsoft Business Intelligence (SSAS, SSRS, SSIS), SharePoint, APS, Power BI, Dynamics, Office 2013 (PowerPivot) and O365, SQL Server Premium Online Services, Hadoop, and Azure HDInsight Service, including hybrid IT scenarios (traditional on-premises, private and public cloud)
Show leadership in technical community to support peers and partners, sharing and utilizing best practices (including the sharing of technical case studies). Support in educating the Microsoft account team and partner resources on mission critical technologies, customer environments, and relevant market, competitive, and industry trends
Provides focus and drive in identifying and resolving issues that span organizations, creating a shared vision for results, seeking and leveraging different perspectives to bring together creative and relevant solutions that drive business impact
Become a recognized thought leader that drives broad influence on specific domains, by participating as an example in blogs, whitepapers, events, and articles in order to drive impact on the internal Microsoft (technical sales, consulting, engineering and or marketing) or industry communities
Actively participate to drive insight and provide feedback to sales, marketing, and engineering on current and future product direction, requirements, or market trends, which can include customer, partner and competitive impact
5+ years of recognized and rewarded district, national, or global selling software solutions to large enterprises - particularly Advanced Analytics and Big Data
5+ years of related architectural and deep technical consulting experience in Enterprise Data Warehousing, Machine Learning, Business Analytics working with SQL Server, Azure, and other Microsoft technologies or competitive offerings such as Tableau, Tibco, R, SAS, Mathlab, Microstrategy, Alteryx
4+ year (s) of experience with Hadoop and Big Data Architectures (Hadoop, Hortonworks, Cloudera)
Superior presentation skills with strong written and verbal communication skills for a variety of customer roles / level to influencing for impact
Exceptional problem-solving and critical thinking skills leveraging internal and external resources when needed to drive for results
Consultative/solutions sales experience
Experience working with and within large, complex teams
Project management experience is ideal
You will interact with all levels of management and will be extremely technical with an outgoing personality
Excellent note taking and documentation skills - attention to detail is key
5+ year of management and success in consultative / complex sales processes where necessary, managing various stakeholders (Senior level executives Primary: TDM, Secondary: BDM) relationships to get consensus on solution / projects and design, implementation and support of highly distributed applications (i.e. having an architectural sense for ensuring availability, reliability, security and scalability.)
Able to communicate complex concepts in a simple, business value context with proven white boarding capabilities
Oversight experience on major transformation projects and successful transitions to implementation support teams

Big Data Solutions Engineer Resume Examples & Samples

Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time
Collaborate with other teams to design and develop and deploy data tools that support both operations and product use cases
Perform offline analysis of large data sets using components from the Hadoop ecosystem
Evaluate and advise on technical aspects of open work requests in the product backlog with the project lead
Own product features from the development phase through to production deployment
Evaluate big data technologies and prototype solutions to improve our data processing architecture
10-12 years software development experience
Minimum 2 Year Experience on Big Data Platform
Proficiency with Java, Python, Scala, HBase, Hive, MapReduce, ETL, Kafka, Mongo, Postgres, Visualization technologies etc
Flair for data, schema, data model, how to bring efficiency in big data related life cycle
Understanding of automated QA needs related to Big data
Understanding of various Visualization platform (Tableau, D3JS, others)
Proficiency with agile or lean development practices
Strong object-oriented design and analysis skills
Programming language -- Java (must), Python, Scala, Ruby
Batch processing -- Hadoop MapReduce, Cascading/Scalding, Apache Spark
Stream processing -- Apache Storm, AKKA, Samza, Spark streaming
ETL Tools Data Stage, Informatica,

Enterprise Analytics Principal, Big Data Resume Examples & Samples

Experience in architecting and implementing end-to-end Data Warehouse / BI solutions
In-depth knowledge of EDW logical & physical data modeling and SQL
Must have hands-on architecture experience with Big Data technologies and methodologies (Hadoop, Spark etc)
Well rounded experience implementing Customer Analytics or Global 360 view
Experience with search engine such as Elastic search or SOLR
Programming languages –HDFS, Spark MLLIB, Java, Linux, Python, Hadoop, Hive, HBase,R on Hadoop and other Hadoop eco-system components
Must have exposure to developing solutions using continuous integration/Agile methodologies
Ability to understand what is required to actively monitor and respond to system issues
Self-starter with a passion for new technologies
Must have Experience in a technical leadership role
Hands-on experience with “productionalizing” Hadoop applications
Knowledge of cloud computing infrastructure (e.g.Azure, AWS) and considerations for scalable, distributed systems is preferred
No-SQL Database experience (e.g.Cassandra, Riak, Redis)
Experience with ER/Studio Diagramming Tool and Business Intelligence & Analytics tools
BI, Data, IT experience with a minimum of 5+ years in a principal/ senior technical role leading complex transformational technology data efforts for Global organization, (10 years)
Data Management Platform, BigData and other Data integration Technology industry experience (with Oracle and/or competing platforms)
Experience working in a technology organization, driving projects from ideation to delivery and sustainment
Experience working in 24X7 development environment, preferably with global presence
Outstanding communication and presentation skills: conceptual ideas, design rationale and design details both verbally and visually
Understanding of data governance, data lineage on Big Data
Self-starter with experience working in a fast-paced environment
Demonstrated ability to think/act strategically and influence key leaders and partners
Must have a proven track record of working with Senior leadership to understand company strategy and be accountable for the enablement of technology capabilities
Strong executive leadership presentation experience
Masters degree in Computer Science, or related degree, or equivalent work experience

Big Data Team Lead Resume Examples & Samples

Strong academic record, ideally with a degree in computer science, engineering, mathematics or other analytical background
Strong analysis and troubleshooting skills
Very deep Hadoop Cloudera experience, able to take on the role of SME in this space
SQL language and Stored Procedures
Server side Java programming
Knowledge and experience of distributed computing
Data Warehousing / BI design skills (platform independent)
Strong experience in a Unix/Linux ecosystem
Database administration (Netezza preferred)
Qualifications: Computer Science/ Engineering / physics / mathematics or relevant degree

Big Data Development Lead Resume Examples & Samples

Lead the ongoing maintenance of a Greenplum application that sources data from Hadoop
Interface with Lines of Business to validate requirements and complete design for any enhancements
Drive creation of technical documentation, architecture diagram, data flow diagram, server configuration diagram
Work with big data developers designing scalable, supportable infrastructure
Assist with developing and maintaining the system runbooks
BS Degree in Computer Science/Engineering or equivalent industry experience
10+ years of Information Technology experience with an emphasis on database technologies
2+ years of experience with MPP database like Greenplum/Vertica/DB2 required
2+ years of experience with Hadoop required
4+ years experience in ETL with tools like Informatica, Data Stage or Ab-initio
Knowledge of SQL/Shell and procedural languages like PL/SQL preferred
Understanding of Storage, Filesytem , Disks, Mounts , NFS preferred
Development experience in Hive preferred
Experience leading technology initiatives and working in cross-functional, multi-location teams
Experience in the financial services industry preferred

Big Data Platform Administrator Resume Examples & Samples

Deep technical knowledge of Greenplum, Teradata, Netezza, Hadoop and related technologies
Experience in Java, JVM and Linux environment
Deep knowledge on at least one of the RDBMS engines such as Postgres, MS SQL
ETL, ELT and/or reporting experience
Unix/Linux
Advanced SQL, ETL Tools
MPP Database Knowledge
Structured design, coding, and testing experience
BI Reporting Tools
Analytics Reporting Tools R/SAS
Extensive OS skills
Virtualization technology experience with VMware
Knowledge of distributed computing and parallel programming
Good Linux knowledge, understanding of shell, debugging performance issues etc
Experience developing large-scale system software
Experience implementing data warehouses
Strong teamwork skills
Client relationship skills
Experience with Hadoop strongly desired
Gemfile, sqlfire and spingXD framework
Scripting languages such as Perl/Python/C a plus

Big Data Product / Offerings Manager Resume Examples & Samples

Bachelor's degree in marketing, business administration computer science, information technology or related field preferred
Ten or more years of experience in product management, software development, technical support, or consulting
Experience working with product systems design principles and customization strategies when integrating hardware or software products
Experience working with financial operations concepts, practices and procedures
Experience working with product systems design principles
Experience working with technology architecture, mainframes, scheduling software and other related technologies
Experience working with client business and technology requirements and company software and hardware products and services
Experience working with development tools, processes, approaches and/or techniques
Strong skills in product development methodology such as vision and strategy (VS), business area architecture (BAA), ierative custom development (ICD), package-based development (PBD) or accelerated application development (X/AD)
Strong organization skills to balance and prioritize work
Strong analytical, problem solving and decision making skills
Strong skills in project planning and estimation, and managing risks during product launches
Strong creative thinking/designing skills
Good leadership skills to mentor, motivate and provide guidance to project personnel
Good personal computer and business solutions software skills
Good financial management skills to understand related metrics
Ability to anticipate problems, handle and resolve ambiguity and take decisive action, with regard to impact on client and company
Ability to adapt to changing environments and/or situations, handle multiple tasks simultaneously and to switch between tasks quickly
Ability to mentor and direct work of less experienced specialists and team members
Ability to create an maintain formal and informal networks
Willingness to travel up to 30%

Senior Big Data Nosql Engineer Resume Examples & Samples

Install and configure Big Data Platforms which may include Hadoop, MongoDB, Cassandra, Elastisearch, TitanDB, Pentaho, Kafka, Storm and others
Develop internal and client applications using a modern Big Data toolkit (Hadoop, Elasticsearch, MongoDB, Storm, etc.)
Document solutions for long term support
Travel to client site as needed
Assist client support team with Application issue resolution

Senior Big Data Lead Resume Examples & Samples

Develop and plan analytic projects in response to business needs
Direct development of risk management predictive / analytical models to help management identify, measure and manage risk
Lead the professional development of the team by mentoring team members, keeping them informed of industry trends, best practices and evolving technologies
Minimum: BS/BA degree, preferably in a quantitative field (science/technology/engineering/statistics)
Experience of 10+ years working in medium sized project teams and a contributing member in self-directed roles
Experience working with large amounts of disparate data and working with data models, especially in the Big data space
Strong familiarity and experience with data mining which includes data quality assessments, variable creation and selection

Intern Big Data Resume Examples & Samples

Passion for sport
Pro-active and collaborative attitude
Ability to deliver high-quality work on time in full
Committed to driving business change using fact-based approach rather than gut feel
Ability to focus on detail and understand how it fits into the bigger picture
Business degree from leading business school
Previous internships in multinational organisation
Advanced Excel and PowerPoint skills
Knowledge of basic Project Management processes & tools and SharePoint an advantage
Skills in any subset of big data technologies, text analytics, information integration or algorithmic background in statistical and predictive modelling are an advantage

Big Data Analysis Resume Examples & Samples

& Currently pursuing a Bachelor’s or Master’s degree United States-based college or university
& Major: in Computer Science, Information Systems, Software or Computer Engineering, Digital Media, Technology or a related field
& Minimum 3.0 GPA
& Demonstrates solid decision-making skills
& Proven analytical, organizational, and problem-solving ability
& Strong written and verbal communication skills
& Ability to work independently and in group settings
& Strong interest in the technology, telecommunications, cable and media industries
& Authorized to work in the United States of America
Programming languages (Java, ASP.NET, Perl, Python, PHP, Javascript, Ruby, SQL)
Relational database Management system (SQL Server)
Operating systems (Linux/Unix)
Markup language (CSS, HTML)
Security (Network Intrusion Detection, IDS/IPS, Vulnerability, Malware, Firewalls)
Networking
Reporting/Data (Cognos BI, ClickFox CEA and Genesys Advisor, Microsoft SQL)

Senior Big Data Nosql Engineer Resume Examples & Samples

Computer science or math/engineering education background
2-3 years’ experience with MongoDB or Cassandra
Solid understanding of MongoDB and Cassandra architectures
Should have 1+ years’ experience data modeling, data ingestion, data query with MongoDB or Cassandra
Client-focused system admin experience a plus
RDBMS, ETL, and data migration skills a plus
History of adapting to new technologies and frameworks
Enjoys being challenged and solve complex problems on a daily basis
Has excellent oral and written communication skills
Willingness to travel as needed

Big Data Lead Resume Examples & Samples

Minimum of 6 to 9 years of work experience using Java and Big data tools like Hadoop,Map Reduce,Hive,Pig, Sqoop
6 - 9 years’ experience in heterogeneous big data environment
Knowledge of various data modeling concepts and methodologies, Architecture
Demonstrated ability to translate function/high level design in detailed technical design
Understands basic relational database concepts - rows, columns, primary key etc
Is able to identify opportunities for improving the process
Experience with scheduling jobs on CRON and using a scheduling tool like Control-M
Must have full life-cycle experience in large, global multi-tiered systems, preferably in the financial industry
Excellent interpersonal relationship and communication / presentation skills; thrives in representing IT in business SME forums; building relationship with business and participating in “sit-with” session to gain Business Knowledge
Strong technical documentation skills and Demonstrates initiative and is a self starter
Prepared to challenge when business requirements seem conflicting and Drive/Determination and knowledge; Facilitate JAD/cross-functional sessions and drive to conclusion
Initial investigation, solution identification and sizing, Plans, architects, designs, analyzes, develops, codes, tests, debugs and documents programming to satisfy business requirements for large, complex projects
Provide technical leadership for large and complex projects and Provide coaching and mentoring to less experienced team members
Participate in design reviews and provide alternatives and Conduct code reviews and make sure quality solutions are built and best practices/standards have been followed
System test planning and system test execution
Implementation and warranty support
Identify efficiencies and ways to improve design and development processes
Identify ways to increase efficiency of production support - Find solutions that allow operations to better do their job without involving development resource time
Insure that solutions are not one-offs, but can be leverage across the organization
Excellent knowledge of the Full life cycle of a project; Guide project team and PM by identifying risk and proactively mitigating by showing leadership and leading continuous improvement initiatives
At least 1 – 3 years software development experience required in Big Data environment environment
At least 6 – 9years of experience with Java, J2EE, Spring
At least 1 - 3 years of EXP in any of these Hadoop,Map Reduce,Hive,Pig, Sqoop Sqoop2, flume, kafka, storm, hbase, Elastic Search, Spark, Oozie
At least 1 – 3 years in Mahout,Mongo DB, Solr ,Spark ML Lib, R is a preference
Knowledge of data warehouse and eco system a plus
Creates Architecture artifacts, provides alternate designs/solutions, provided end to end BI architecture, Good at performance management, provides robust Big data solutions that are scalable and sustainable, code/design review and feedback
High level of responsibility and Ownership from inception through to implementation
Good testing principles as well as good defect management skills
Minimum of 8 to 11 years of work experience using BI tools (Congas, Tableau or BO, SAS BI) with extensive Delivery, design and BI architecture experience
8 - 11 years’ experience in mid to large scale Data warehouse with experience on BI Delivery and Architecture
At least 8 – 11 years software development experience required in Data Warehouse environment
At least 8 – 11 years of experience with Cognos, Tableau or BO
At least 5 - 8 years of Teradata or any MPP environment is a preference
At least 5 – 8 years in Financial domain is a preference
Knowledge of cognos connection, scheduling/running reports, Creating basic reports in query studio and report studio
Create advanced reports, Create Framework manager model and Create analysis studio reports/OLAP reports and Create Dashboard reports
Can do DMR modeling in FM, Create cubes using transformer, Performance tuning of reports
Knowledge of Cognos Architecture, Provide complete reporting solution which can be union of analysis studio/cubes/dashboard/reports
Knowledge of Cognos security model and Knowledge of Cognos SDK
Ability to detect any issues at Cognos tool level and open service requests with IBM vendor
Create templates, create user profiles, proivide access, report publish and scheduling reports, reprort compatable to Blackberry, Ipad etc
Creates Architecture artifacts, provides alternate designs/solutions, provided end to end BI architecture, Good at performance management, provides robust BI solutions that are scalable and sustainable, code/design review and feedback

Rohq-cti-big Data Linux System Admin Resume Examples & Samples

Perform technical activities to support CTI technology organization’s needs
Perform relevant technical support activities relating to the installation and maintenance of operating systems, Project support and software tools in a quality and costeffective manner
Participate in the creation and maintenance of a technical platform that will ensure secure and error-free 24x7 services for all applications
Participate in the determination of sound technical strategies that support corporate objectives
Coordinate with users to ensure that optimum service is provided to the business
Implement system related procedures in compliance with ISO9000, ISO27001 and ISO20000 standards
Participate in compliance or audit related on UNIX platform
Provide SME support for UNIX (Solaris/Aix/Linux) Operating system and Infrastructure servers within CIS HIA
Perform support activities related to audit and compliance requirements
Actively participate in the development of new service offerings and capabilities
Work with customers to plan and coordinate the implementation of moderate to complex system and software migrations
Assist customers with the planning and design of system architecture
Interface and work closely with Project Managers on project implementations
Coordinate project plans and activities with user and technology management
Root cause and failure analysis to resolve systems problems
Identify, document and eliminate all non-supported software
Produce a plan for upgrading and/or replacing the non-supported hardware and software
Prior experience managing systems for High-Availability and Disaster Recovery
Automate common manual tasks and processes
Ensure compliance of server infrastructure with Citibank policies
Subject matter expert in cloud/virtualized consulting solution offerings
Perform site COB drill and participate in application COB drill to meet the business COB requirements
Working with in-country System Administrators to ensure all servers are meeting global Citi standards
Perform system performance monitoring and tuning; participate in capacity planning and systems configuration
Strong Software Development Lifecycle Management experience, familiarity with Waterfall and Agile development models
Hands-on experience with Big Data technologies and must have worked on at least two big data projects for large organizations
Extensive experience with Hive, Sqoop, Impala, Datameer and Platform
Cloudera Big-Data Developer Certification is preferred
Working experience with teams spread across many countries and time zones
Good team player interested in sharing knowledge and cross-training other team members and shows interest in learning new technologies and products
Years of hands-on experience in operating, and administering Solaris/Linux/AIX
Experience on Frame administration
Experience on supporting Clustering, configured in high availability environment
Scripting capabilities for automation of system administration task
Experience on Operating systems performance, tuning, and enhancements
Experience on UNIX Security updates and patch management
Experience with planning and identifying Disaster Recovery plans
Knowledge of Infrastructure software PowerPath, Veritas foundation Agent, Netbackup, ITM, , File transfer software(Tectia, NDM), capacity tools(Perceiver)
Experience with transferring applications to a cloud/virtualized environment is an advantage
Knowledge on ITIL processes; Example Change, Incident & Problem management
Strong communication skills and a Team Player
Ability to learn quickly and incorporate new knowledge in the rapidly evolving infrastructure

Senior Mongodb Developer, Big Data Solutions Resume Examples & Samples

Primary development lead for the MongoDB and DaaS related solutions and services on Coach’s Big Data platform, responsible for design, build, test and support of MongoDB and Rest API integration framework/model
Comprehend and translate business requirements into technical specifications and build elegant, efficient, and scalable solutions based on specifications
Recommend and implement best practices for Rest API integration framework/model
Develop MongoDB and API prototypes and proofs of concept
Assist in solving technical and business issues within the Big Data platform
Analyze and refactor existing data models to improve performance, correctness, and scalability
Interface with cross-functional teams to advance solutions and services
Provide thought leadership and assistance on strategies and design for new initiatives with cross-functional teams to ensure an optimized solution across Coach’s Big Data platform

IBM Big Data Platform Development Resume Examples & Samples

Bachelor's degree or higher; majored in Computer Science, or Engineering, or related fields
1+ year experience on enterprise level software development
Proficient with Java, 1+ year experience in Java development
Fluent speaking English, good writing skills

Director EYC Analytics / Big Data Brisbane Resume Examples & Samples

Leverage your existing networks to identify, pursue and close sales opportunities
Drive revenue that contributes to the growth of the practice
Strong understanding of data and analytics and able to present and communicate efficiently and charismatically
Proven ability to develop, manage and leverage client relationships effectively
10- 15 years of professional experience in information management related roles – ideally with a Big 4 background or a recognised data focussed professional services firm
Strong project management skills and interpersonal skills
Sales experience – leading and driving sales
Be willing to travel as required

Director EYC Analytics / Big Data Sydney Resume Examples & Samples

Develop and proactively manage client relationships
Proven ability to independently lead and deliver quality pieces of work and entire client engagements
Have a drive to build a team and take your technical information management career to the next level

Director EYC Analytics / Big Data Melbourne Resume Examples & Samples

Lead and manage Information management, Big Data or Advanced analytics engagements
Provide mentoring, coaching and support to junior team members
Coordinate, lead and deliver detailed proposals and other Business Development material
Demonstrated experience in complex project delivery around big data, advanced analytics, information management or data warehousing related projects
Proven ability to develop revenue generation opportunities and manage pursuits
Enthusiastic work ethic and willingness to learn new capabilities and perform engagements in new sectors or specialties
Proven experience in professional consulting – including projects around business intelligence, data warehousing, big data, advanced analytics or data focused environments
Advanced written and verbal communication skills and presentation skills

Senior Manager, Big Data Platform Resume Examples & Samples

Oversees the planning and designing of software using Hadoop, Storm, Kafka, Accumulo, HBase, and Hive
Provides guidance to the Software Engineering team and works with product owners identifying product and technical requirements. Serves as primary point of contact and Liaison between Software Engineering and other teams
Directs implementation initiatives for new software products and applications. Organizes and coordinates the roll-out of software releases between the platform and operational architects and development staff
Monitors and tracks project progress and reports findings to leadership team
Ensures all engineers keep current with technological developments within the industry. Monitors and evaluates competitive applications and products
Provides active coaching and management to development staff and mentors across the organization
8-11 years of related experience
5+ yeas experience managing software development teams
5+ years' experience in large volume, data warehousing type applications
1+ years management of Hadoop related technology
2+ years of managing of Agile development teams
Experience managing event driven data capture a plus

Technical Sme-big Data Resume Examples & Samples

Scope, define & design solution offerings; driving end-to-end technical solutions
Analyze customer technology, define business requirements & participate in risk analysis
Work with core team on list of potential activities & solutions
Develop technical presentations & proposals, & perform customer presentations
Support deployment of solution
Participate in knowledge transfer, documentation & information sharing
Stay abreast of on new technology/technical areas & share information about solution to enable customer competence build
Position Qualifications

Big Data Services Manager Resume Examples & Samples

Provide management for the development team in architecting, designing, building and enhancing data warehousing, data mart and big data services
Transition traditional ETL/Data Warehousing solutions to solutions which leverage Big Data technologies hosted either internally or in the cloud
Provide technical leadership and contribute to the definition, development, integration, test, documentation, and support across multiple platforms
Design and develop Self-Serve analytics infrastructure. A key component of this task is to build and publish value added data sets that will be utilized by various stakeholders
Involved in all phases of software development from review of functional specification through assisting with test plans and final QA cycle. Actively participates in monitoring and troubleshooting of production platform related issues
Managing the Data Life-cycle, including ELT Design Patterns, Data Lifespan, Data Governance policies and practice and, Master and Metadata management
Oversee the utilization of various tools & frameworks that enable capabilities within the Hadoop and Informatica ETL ecosystems
Provide effective capacity planning, staffing projects originating from and servicing a diverse client base, ensuring capacity is focused upon the highest priority and business value, escalating any capacity constraints
Ensure balanced allocation to all efforts, allowing time for projects, for infrastructure upkeep, progress on long-term roadmap items and addressing data gaps and solution’s innovation
Participate and contribute in BI/DW Technology vision, strategy, delivery roadmaps
Provide coaching, mentoring support to staff for development opportunities and career path guidance
Bachelor’s degree in Business or Management Information Systems
Financial industry experience
3+ years’ experience with the Hadoop stack

Team Lead-big Data Resume Examples & Samples

Design, manage, innovate the Big Data platform, big data infrastructure, and big data workflow at PubMatic, scaling to 10PB in size, across multiple data centers, geographies and time zones
Troubleshoot complex issues discovered in-house as well as in customer environments
Manage a small team of skilled engineers & mentor junior engineers in software development, technology and processes
Cultivate sustained innovation to deliver exceptional products to customers
Ensure timely and top quality product delivery
Ensure that the end product is fully and correctly defined and documented
Ensure implementation/continuous improvement of formal processes to support product development activities
Drive the architecture/design decisions needed to achieve cost-effective and high performance results
Provide guidance to the team for technical escalations for escalations that come to the engineering
Conduct feasibility analysis, produce functional and design specifications of proposed new features
Minimum experience: 7 years
Bachelors or Master’s Degree in Engineering
Should have been working at a startup as Team Lead/Senior Software engineer for the past 3-4 years
5+ years coding experience in Java, with solid CS fundamentals including data structure and algorithm design, and creation of architectural specifications
7+ years contributing to R&D and production deployments of large backend systems, with at least 2 years supporting big data use cases
3+ years of experience designing and implementing data processing pipelines with a combination of the following technologies: Hadoop, Map Reduce, YARN, Spark, Hive, Kafka, Avro, SQL and NoSQL data warehouses
Proven experience in handling at least 1-2 complex Big Data projects
Expertise handling Hadoop Ecosystems on Linux platform
Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, documentation, build processes, automated testing, and operations
A passion for developing and maintaining a high quality code and test base, and enabling contributions from engineers across the team
Demonstrated ability to achieve stretch goals in a very innovative and fast paced environment
Demonstrated ability to learn new technologies quickly and independently
Excellent verbal and written communication skills, especially in technical communications
Strong inter-personal skills and a desire to work collaboratively
Recent experience in working with Startups is highly preferred
Experience in handling Engineering escalations from customers will be preferred
Demonstrated ability to motivate and innovate, excellent team building and leadership skills
Able to communicate clearly and effectively with all levels
Strong operational and project management skills in a product development environment

Daas Big Data & IoT Engineer Resume Examples & Samples

Interesting location based problems
Freedom to innovate, no micro management here!
Build new products in this green field environment from product conception to deployment
A culture of engineering inclusion and diversity
T-shirts, flip flops and kegerator in the office

Engineer Lead-big Data Resume Examples & Samples

Develop the Hadoop and Greenplum environment with a view to the following
Knowledge of the Hadoop framework preferably Cloudera and/or Hortonworks
5+ years experience working with Java and the Java runtime environment
5+ years experience working with Intel Hardware
The ability to understand complex problems
An analytics mind-set
Configuration management (e.g. CF-Engine, Puppet, Ansible) would be a plus
Knowledge and experience with cloud environments such as AWS would be a plus
Analytical mind-set with the ability to understand complex problems
Understanding of the engineering cycle from idea through to product
Ability to accurately document the engineering process

Big Data Offering Manager Resume Examples & Samples

Experience working with product configurations
Experience working with project management tools, processes, procedures and methods
Strong skills in training
Ability to convert technical knowledge into easily understood terms

Big Data Product Development Manager Resume Examples & Samples

Bachelor's degree in computer science, information systems, or related field preferred
Project management (PMI) certification preferred
Twelve or more years of experience in product integration
Experience working with software, systems, applications, and network markets
Strong communication skills to communicate with customers, support personnel, and management
Strong organization skills to prioritize, balance and lead several projects
Strong presentation skills to present ideas or tasks to individuals or groups

Viper Big Data Intern Intern Resume Examples & Samples

Explore a new data set, get to know the data, and figure out what 'story' the data is trying to tell
Write a program to determine the validity of a measurement not readily addressable by traditional statistical techniques
Refactor production code to improve supportability or testability
Build new data processing capabilities
Work on deployment automation or other software engineering practices associated with Continuous Integration or Continuous Delivery
Major: Computer Science, Management Information Systems, Statistics or a related field
Minimum 3.0 GPA
General comfort getting hands dirty with code and tools
A love for data
Working in a fast-paced agile team environment
Working with minimal direction, where invention is a daily aspect of the job
Well versed in MS Office products (Word, Excel, Visio, PowerPoint, Outlook)

GSL Business Intelligence & Big Data Resume Examples & Samples

Consult with solution project teams in order to develop a solution design which is compliant with the architecture and standards of the Company
Review detailed research materials, vendor product plans and industry trends for new/emerging technologies in order to identify the impact on current Company technology strategies and business plans
Establish quantifiable and observable performance objectives for direct reports or team members
Provide direct reports with leadership, direction, and coaching to achieve work objectives and improve performance and skills
Hold regular discussions with each direct report to discuss progress toward goals, review and provide performance feedback, review development progress, and acknowledge achievement of objectives
Identify and integrate cross-function projects in order to achieve synergy and expose commonality
Coordinate execution and implementation of approved projects within area of responsibility in order to execute the plan
Manage or participate in cross-functional teams to promote technology strategies, analyze and test products, or perform pilot and first implementations of new technologies in order to integrate new technologies into the Company's Global infrastructure
Evaluate a direct report's performance against established performance expectations
Analyze situations and take action to remove strategic and cultural barriers or obstacles (e.g., lack of senior management commitment, inadequate reinforcement of behavior) that keep or could keep work in your area of accountability from being completed as committed
Develop, maintain and provide technical expertise in order to transfer knowledge, operating systems and other infrastructure components
Present or participate in outside conferences in order to attract job candidates or influence product or vendor direction
System Design: Knowledge of system design procedures and the ability to translate functional business requirements into an application system or process to meet the clients' needs that also meets all relevant Company standards
Application Development Methodology: Ability to apply the standard TCCC application development methods covering the full development lifecycle (e.g., project preparation, analysis, design, development, testing, deployment and support) to ensure solution quality and consistency of process
Solution Configuration: Ability to provide advice and develop a detailed design and customized configuration to support new business processes and procedures. Knowledge of one or more modules in an ERP or other Packaged Software Solution (e.g., SAP, BASIS, JD Edwards, Oracle, PeopleSoft)
Program Management: Ability to provide oversight and management to synthesize/bring synergy to multiple initiatives by establishing courses of action for self and others to ensure that work is completed efficiently, adjusting priorities, establishing management routines to effectively track progress and identify issues; removing barriers and leveraging resources
Business Partner Knowledge: Knowledge of business partners (such as customer, bottler, service agent, supplier) in their context: industry trends and competitive pressures, strategies and plans, organizational structure, decision-making process, contacts, technology infrastructure and systems

Development Lead-big Data Resume Examples & Samples

Minimum seven years experience working as a Development Lead with a strong Java and Middleware background
Proven track record designing and implementing complex, enterprise applications
Experience with workflow, rules engines (e,g, DROOLS), event modeling and messaging
Strong interest and knowledge of emerging technologies
Identify off the shelf commercial and open source technologies for consideration as part of the designs and participate in the evaluation of such technologies
Scope development tasks and provide estimates of resources and time required by the development team across the development life cycle
Partner with Architects and other Leads to ensure solution meets requirements of all consumers and interacts seamlessly with existing applications
Ability to effectively communicate on complex technical topics
Proven ability to influence and partner across a complex organization
Deep knowledge and experience with OOP/OOD
Interfaces, Classes, Polymorphism, Inheritance, Reuse
Design Patterns: GoF (Gang of Four), MoM, SOA, MVC
Experience developing Architectural Diagrams in Visio or PowerPoint
Experience conducting Proof of Concepts and collecting metrics
Huge Plus: Experience with Hadoop and Big Data development
Experience with Agile techniques
Experience conducting Code Reviews
Core Java (Java 7+); Extensive experience with Core Java coding
XML, JSON, AVRO and other common formats
Familiarity with JAXB, SAX, DOM, STAX, JSON Parsing, etc
At minimum intermediate SQL Knowledge is a must (Oracle dialect is a plus)
JMS and other Messaging concepts
Web Services Development
REST Web Services (JAX-RS)
SOAP Web Services (JAX-WS)
Custom HTTP Servlet web-services based implementations
EJB 3.0 is a plus
Unix/Linux experience (Command Line/Perl/Shell/Python)
Maven and Build Scripts, Jenkins in a plus
Job Scheduling: Autosys, Control-M, etc
Big Plus: Big Data / NoSQL (Specifically Hadoop)
Hadoop
Hive
HBase
HDFS
Map-Reduce
Spark is a Plus
Oozie is a plus
MongoDB or other NoSQL databases
Graph Databases
Big Plus: Kakfa Messaging
Plus: Distributed In-Memory Caching Technologies: Gemfire, SqlFire, Coherence
Plus: Integration with Python or other non-Java Languages based Clients via Web Service and Messaging
Plus: Workflow Engine Integration with Java
Engine Examples: AquaLogic BPM, Oracle BPM, Tibco Staffware/Iprocess
Plus: Knowledge of ETL Frameworks such as: Abinitio and Informatica
Integration of these tools with Hadoop is a big plus
Prior Financial Services Industry experience, especially in the Risk or Finance Technology area or Reference Data experience

Analyst, Viper Big Data Resume Examples & Samples

Requirements and design for system capabilities to support stakeholder needs
Ad hoc data analysis and visualization
Creation and maintenance of reports and dashboards
Statistical analysis to identify correlations within the data
Bachelor's degree and 1+ years data analysis and reporting experience
Experience with commercial reporting and visualization tools
Splunk (Hunk) experience desirable
Experience working with very large data sets
Experience interacting with Hadoop
Apache Pig experience desirable
Experience with extract, transform and load (ETL) processing in a data warehouse environment
Ability to design data models for use in messaging specifications and data stores designed for efficient data analytics
Ability to navigate Unix operating systems
Statistical analysis skills highly desirable. (Including tools such as R)
Willingness to learn new technologies and to get hands dirty (including code) in a technical environment
Good communicator and able to clearly articulate complex issues and technologies
Willing to take ownership of problems and see them through to resolution
Comfortable working in a fast paced agile environment. Requirements change quickly and our team needs to constantly adapt to moving targets

Big Data System Analyst Resume Examples & Samples

Finance industry background
Solid communication, documentation & presentation skills
Solid in data mining and analysis using PL-SQL in a very large Oracle database
Spark, RDF, Hadoop, Hive, HDFS, Data watch/Tableau are required
Java, PowerBuilder, Sybase, Sun Solaris Unix/Red Hat Linux, Perl are preferred

Senior Big Data Streaming Product Engineer Resume Examples & Samples

Lead software development in a collaborative team environment using Scrum Agile methodologies, primarily using stream processing frameworks
Experience implementing performant highly available applications
Experience performance tuning of streaming/big data applications
Lead designing, building, installing, configuring applications that lend themselves to a continuous integration environment
Ensures solutions developed to adhere to security and data privacy policies
Lead investigations and proof of concepts as streaming technology evolve
Test prototypes and oversee handover to operational teams
Define best practices/standards
3+ years of mission critical production application development, Scrum Agile, and software architecture
Two years of experience developing high-performance streaming applications
Experience in developing for high performance and big data
Strong understanding of Hadoop architecture, storage and IO subsystems, network, and distributed systems
Experience managing and developing utilizing open source technologies and libraries
Strong knowledge of Java Virtual Machines (JVM) and multithreaded processing
Experience with streaming frameworks such as Storm Trident, Spark, Flink, and Samza
Experience utilizing Kafka for high volume data streams
Ability maximize the performance of streaming applications
Working knowledge of several NoSQL platforms and low latency data stores

Big Data Development Lead-intelligent Solutions Resume Examples & Samples

Lead build of Hadoop platform and Java applications
Provide direction to junior programmers
Complete Risk questionnaires for the application
Drive project team to meet planned dates and deliverables

Big Data Technologies Resume Examples & Samples

Enterprise Hadoop/Spark implementations, NoSQL technologies (Cassandra,MongoDB,Neo4j etc.), Big Data Platforms (Cloudera,Hortonworks etc.) and advanced analytics technologies (predictive as well as prescriptive - SAS,R,Python, Machine Learning etc.)
Data and analytics integration, application architecture interlocking unstructured and structured data within the enterprise
Development of Data warehouses hosted on MPP (massively parallel processing) architecture, distributed systems and analytics platforms; and,
Cloud-based Data and Analytics platform solutions - Amazon, Microsoft Azure or Google Cloud
Develop blueprints and technical playbooks for complex Big Data analytics solutions
Collaborate with appropriate parties to develop reference architecture and solution patterns for implementation
Participate in thought leadership activities in the Big Data and analytics space
Develop unique sector or industry specific point of view on implementing and sustaining enterprise level Big Data and analytics solutions
Assist in collateral development for client meetings, pursuits and proposals
Serve as an engagement lead or subject matter expert in external client facing projects
Create and conduct technical training and onboarding of new staff
Work collaboratively on teams with a variety of technical and non-technical skill sets
Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,
Manage junior level resources in delivering a complex Big Data strategy / implementation project

Big Data Technologies Resume Examples & Samples

Enterprise Hadoop/Spark implementations, NoSQL technologies (Cassandra,MongoDB,Neo4j etc.), Big Data Platforms (Cloudera,Hortonworks etc.) and advanced analytics technologies (predictive as well as prescriptive – SAS,R,Python, Machine Learning etc.)
Experience developing Data warehouses hosted on MPP (massively parallel processing) architecture, distributed systems and analytics platforms; and,
Cloud based Data and Analytics platform solutions - Amazon, Microsoft Azure or Google Cloud
Developing blueprints and technical playbooks for complex Big Data analytics solutions
Developing prototypes, technical proof of concepts and benchmarks with various solutions and convert platform architecture blueprints to real life working artifacts
Assisting in conducting technical training and onboarding of new staff
Working collaboratively on teams with a variety of technical and non-technical skill sets
Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance; and,
Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and writing, communicating, facilitating, and present cogently; to and/or for all levels of audiences, clients and internal staff and management in a professional business environment

Hybrid Big Data Resume Examples & Samples

Experience in traditional DW environments- Teradata, Oracle, DB2, SQL Server
Strong understanding of data warehousing concepts
Exposure to ETL solutions such as Datastage, Informatica, ODI, Map/Reduce
Experience working on Big Data platforms / Hadoop / Azure etc
Experience developing Big data configurations, architectural diagrams and proposals
Understanding of Big Data software environment such as Hadoop, NoSQL, Hive, HBase, Sqoop and other ecosystem tools

Big Data Spark Developer Resume Examples & Samples

Mapping business requirement to IT solutions
Business process analysis and design
Solution architecture that fit to customer business requirements
Data governance

Big Data Platform Infrastructure Engineer Resume Examples & Samples

You’ll help us tune our Spark and Presto deployments to function well under load and in AWS
We run custom builds of both Presto and Spark, so you will head up our Spark/Presto customization efforts, builds, and deployment
Many of the changes we need would also benefit others in the big data community. You’ll have the opportunity to contribute back
You’ll help us investigate various file formats (e.g. Parquet), and help create loaders and storers that function well on S3 and with our metadata service

Big Data Technologies Resume Examples & Samples

Enterprise Hadoop/Spark implementations, NoSQL technologies (Cassandra,MongoDB,Neo4j etc.), Big Data Platforms (Cloudera,Hortonworks etc.) and advanced analytics technologies (predictive as well as prescriptive
SAS,R,Python, Machine Learning etc.)
Cloud-based Data and Analytics platform solutions
Amazon, Microsoft Azure or Google Cloud

Big Data Engineering Lead Resume Examples & Samples

Responsible for the design, engineering, implementation and escalation support of the core components that make up the CTO Data Lake, a big data ecosystem, and the engineering & implementation of highly complex data science driven products
Provided technical leadership within the team and to outside teams, influencing the direction & innovation around on the plethora of technologies that typically make up big data ecosystems & development techniques for data science tool
Lead the CTO Big Data engineering team in Poland
Take part in one of the most exciting innovation projects in the firm, contributing to the decisive steps prior to the production of the Big Data platform
Represent the team in the relationship with stakeholders, drive projects yourself, and present results to senior management
Engage with the wider data analytics community in the bank and contribute to fostering an analytics-oriented culture
Be Innovative!
People leader
Senior Software Engineer
Familiarity with both Linux and Windows
Python, Bash, Java, .NET (C#)
Graph Databases
SQL (MS SQL Server, PostgreSQL, Oracle)
Apache Hadoop – HDFS, MapReduce, Spark, Pig/Hive, Parquet, Flume
Cloudera
Messaging systems – RabbitMQ
Passionate about Big Data technologies
Problem solver

Big Data Practice Leader Resume Examples & Samples

Identify, validate and drive new Big Data opportunities 　
Leverage knowledge & experience to design Big Data solutions which best meet the client's business needs.　
Overlook delivery of projects within the practice to ensure smooth delivery that meets client and IBM objectives　
Support the delivery of Big Data projects as Lead Architect or Lead Consultant or Delivery Manager　
Maintain an effective business relationship with the client's management team.　
Define, Plan & Execute capacity/recruitment and capability building programs within the practice　
Support solutioning and develop value propositions for Big Data offerings targeting different markets (regional & global markets)　
A relevant academic background　
3 years in similar consulting or practice management role　
5 years of experience in defining solution architecture　
Deep understanding of Hadoop framework, Spark, Stream computing, Data warehouse & Data Management, Business Intelligence & Data Modeling　
Cross Industry knowledge including Banking & Telecommunication

Head of BIG Data Resume Examples & Samples

Lead a team of highly qualified professionals in the data space
Set priorities and direction based on our overarching data strategy
Participate in fine-tuning the strategy
Engage with the more specific, analytics and product teams and help them transform their ways of working with data
Collaborates well in a team environment
Sensitive to clients’ needs
Able to develop warm internal client relationships
Working knowledge of various technologies like Spark, Kafka, R, Octave, Tableau, Elastic
Has demonstrated managing change and transformation through participation as a senior technology leader
Experience with running projects across multiple time zones and cultures
Experience in the Classifieds our adjacent e-Commerce domain

Big Data Development Lead-intelligent Solutions Resume Examples & Samples

2+ years experience in Hadoop required
4+ years of Java experience preferred
Understanding of Storage, Filesytem , Disks, Mounts , NFS
Experience in financial services industry preferred

Client Technology Big Data Development Lead Jersey City Resume Examples & Samples

Development (Coding) for Hadoop, Spark and Java
Putting In right practices for SDLC including code reviews, pair programming etc
Translate complex functional and technical requirements into detailed designs
Being part of various POC efforts for new build and setting up clusters
Testing prototypes and oversee handover to operational teams
Facing business teams from time to time post releases and answering questions on data and release schedules
Documenting requirement
14 years experience in the field of Technology development and leading small teams
Understanding of UI technologies including HTML5, AngularJs, ReactJS etc
Good hold on scripting including Shell/Perl and Python
Good hold on MS office (power point, Excel, Word and Visio)
Ability to work to deadlines
Ability to Multitask and inquisitiveness to learn newer domain and Technology
Ability to multitask and quickly respond to critical issues and changes in requirements
Be able to partner with people from other teams to get work done together
Sound communication skills and ability to interact with senior business leaders and technology colleagues
Leadership skills should be able to improve the team working by providing technical and process guidance; be able to motivate and influence both business and technical communities

Senior Engineer, Big Data Resume Examples & Samples

Develop and operate our data pipeline & infrastructure
Work closely with analysts and data scientists to develop data-driven dashboards and systems
Available for after hour issues and the ability to be on call, but aiming incessantly to reduce after hours incidents
A BS or MS degree in Computer Science or Computer Engineering, or equivalent experience
3+ years experience
Experience with scalable systems, large-scale data processing, and ETL pipelines
Experience with big data technologies such as Hadoop, Hive, Spark, or Storm
Experience with NoSQL databases such as Redis, Cassandra, or HBase
Experience with SQL and relational databases such as Postgres or MySQL
Experience developing and deploying applications on Linux infrastructure

Iot-lead Big Data Solutions Engineer Resume Examples & Samples

Design and build scalable infrastructure and platform for very large amounts of data ingestion, aggregation, integration and advanced analytics in Hadoop, including real time analytics, streaming, Pig/Hive, Spark, Storm, HBase and other NoSQL databases
Researching and deploying new tools, frameworks and patterns to build a sustainable big data platform
Perform analysis of vast data stores and uncover insights
Triage, deep dive and troubleshoot complex issues in the analytics applications
Identify opportunities to leverage and train 1st line support to prevent escalations in the future
Develop, manage and follow operational policies and procedures including documentation and training
Bachelor's degree in Computer Science or related discipline
In lieu of Bachelors Degree, High School Diploma or GED Equivalent and 4 years of related Information Technology will be considered
2+ years of hands-on implementation experience(preferably lead engineer) working with a combination of the following technologies: Hadoop, NoSQL Databases like HBase, Cassandra, Spark Streaming, Data Ingestion frameworks like Spring XD, Datatorrent RTS
3+ years experience with Scala, Java, Spring boot
Strong knowledge of noSQL of at-least one noSQL database like HBase and Cassandra
3+ years programming/scripting languages Java and Scala, python, R, Pig
2+ years experience with spring framework
Working experience of designing & developing solutions in cloud environments (Azure, AWS etc.) with focus on analytics stack
Experience in developing the full life-cycle of a Hadoop solution. This includes creating the requirements analysis, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution
Experience working in agile development methodology
Strong Knowledge of Big Data Ingestion and Data processing patterns
Working Experience with continuous integration and continuous delivery tools
Knowledge of Chef scripting, Docker containers
Experience with multiple cloud computing platforms
Experience with more than one data streaming technologies
Understanding of Machine Learning skills (like Apache Mahout, Spark MLib)
Experience with Visualization Tools such as Tableau

Big Data Infrastructure Engineer Resume Examples & Samples

12-15 years of relevant experience, BS or higher in Computer Science or related field
Hands on expert (5+ years) in Big Data technologies like HBase, MapReduce, YARN, Spark, ELK
In depth familiarity with Cloudera distributions of Hadoop
Experience with Relational and NoSQL (MongoDb) database
Extensive experience with messaging/queuing technologies (Kafka, RabbitMQ)
Strong knowledge of API and RESTful Web Services development
Deep knowledge and experience with Java/J2EE platform, experience in scripting languages (Python, Bash, Pig)
Experience with automating large scale big data deployments using configuration management tools (Ansible, Puppet) and Docker containers
Excellent full stack system-level thinking
Familiar with Continuous Integration, Delivery and Deployment
Experience working closely with operational teams on deployment and monitoring
Experience supporting distributed web applications, in a large, complex and evolving environment

Senior Engineer, SW BIG Data Ananlytics Resume Examples & Samples

Minimum 5years experience developing Big data / Hadoop applications
Strong experience Java based application
Strong experience in writing scripts in Java Map-Reduce, Pig, Hbase, hive
Experience with Apache, SVN (for revision control), Maven, Jira
Experience working with Amazon Web Services or other cloud-based hosting environments
Experience with building highly scalable web applications supporting large high-volume mission-critical consumer-facing Internet environments
Experience writing applications in Mongo DB is plus
Experience integrating with 3rd party APIs (ie. Apache, Hbase, google, Hadoop) through server-side applications
Experience building and maintining automated tests using Junit
An ability to understand and write scripts in shell or other scripting language
Leading small by highly Agile team of engineers
Track record of strong troubleshooting and problem resolution skills
Standards protocols and data formats including REST, JSON, and XML/SOAP
Some experience in performance optimization of high-volume, distributed web services
5 years of experience in Statiscial modeling, Knowledge discovery, Data Mining, Machine Learning in large scale data
Should be a technical leader who inspires people first through his/her technical know-how

Big Data Lead Engineer Resume Examples & Samples

Design and execute the strategy for reporting practices. Create an agile development process and leads and directs efforts to use a variety of tools and/or programming languages to build highly complex reporting, data visualization and/or analytical self service tools
Manage the business intelligence team and vendor partners, ensuring to prioritize projects according to customer and internal needs, and develops top-quality dashboards using industry best practices. Reports project progress on a regular basis
Collaborate with Information Technology team members and business unit stakeholders to gather, understand and translate business requirements. Ensures the best use of business intelligence applications which enhance business decision making capabilities
Manage and provide technical leadership to large data programs or multiple programs implementation based on the requirement using agile technologies
Develop/enhance and recommend policies, tools, practices, standards for data quality verification and cleanup, extract summarization, reporting and analysis
Architect and develop integrated data management capabilities, including metadata capture, data quality, and access management that enable the understanding, sharing, and security of data
A minimum 10+ years of experience within the field of Data Engineering and Analytics
10+ years of progressive leadership experience in Data Analytics development overseeing the direction, development and delivery of large scale data platform solutions in fast pace Agile environments using continuous delivery
Expert in in Hadoop Eco-System with one or more distribution like Cloudera and HortonWorks
Expert in one or more ETL, BI, Analytics and advanced visualization technologies such as Tableau, Business Objects
Strong desire and experience with data in various forms - data warehouses/Oracle/SQL, unstructured data environments/PIG,HIVE, Impala
Experience with Hadoop ecosystem tool such as Sqoop, Spark, Spark SQL, Spark Streaming
Strong experience with database and logical models and analytical and qualitative models and an understanding of relational databases
Detailed knowledge of Roadside Network Operations in Insurance industry and a strong understanding of business processes, including business operations, business delivery models and business revenue models
Attention to detail, effective problem solver, assertive decision maker, facilitator and communicator
Self-directed with the ability to work independently in a fast-paced environment and to aggressively drive project milestones to successful completion
Able to clearly articulate pros and cons of various technologies and platforms

Big Data COE Development Manager Resume Examples & Samples

Responsible for designing and implementing strategies, architectures, ingestion, storage, consumption and delivery processes for complex, large-volume, multi-variate, batch and real time data sets used for modeling, and data mining purposes
Design and implement data ingestion techniques for real time and batch processes for different data types (transaction, video, voice, weblog, sensor, machine and social media data) into Hadoop ecosystems and HDFS clusters
Perform data studies and data discovery routines for new and existing data sources
Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the organization
Responsibilities include, among others, managing development teams and data modelling teams in the identification of business requirements, functional design, process design, prototyping, development, testing, training, and operationalization of support

Big Data Team Lead Resume Examples & Samples

5+ years of experience with Polyglot development in Java and Scala with good understanding functional programming, Solid principles, and concurrency models and modularization
2+ years of experience with Big Data technologies such as Spark, Kafka, Cassandra, and Hadoop
Ability to put the minimal system needed into production using big data technologies like Spark, Scala, Kafka, Cassandra, Hadoop, Flume, HDFS, MongoDB, graph databases, Elastic Search, Docker/containers and Mesos
2+ years of experience of development experience with at least one NoSQL database development, preferably with Cassandra and/or Datomic but would also consider Cassandra, Accumulo, Hbase, Redis, Dynamo, and/or Bigtable
2+ years of experience with Unix/Linux systems with scripting experience
The ability to lead a team of skilled developers to design, develop and implement a large scale data management solutions
Has a passion for software engineering, and craftsman-like coding prowess and experience with algorithm development on high-performance systems
DevOps experience with using the Continuous Integration (CI) and Continuous Deployment (CD) model. Experience with Maven (or Gradle) and, Git and Go CD
Experience in working with un-structured or semi-structured data such as XML & JSON
Experience with Hadoop Ecosystem like Oozie, Hive, Avro, Parquet, etc
Experience in building self-contained applications using Docker, Vagrant, and/or Chef

Big Data Development Group Manager Resume Examples & Samples

Proven experience in creating a cohesive, effective and engaging work environment with a various mix of development staff (employees and contractors) at various locations (onshore and offshore)
Experience in leading teams with complex code management requirements, branching, and coordination of code versions and batch processing across various lower environments
5 to 10 years experience in managing a group of developers in a data environment that included development with an ETL (Extract, Transform & Load) Tool
Clear track record of taking previously managed applications or data environments to the next level- significant focus on continuous improvement and optimizations
Experience in building out Enterprise Wide data assets (Sourcing Hub, Data Warehouse, Operational Data Environment, etc..)
10 or more years of experience in information systems technology and financial services industry applications
Five or more years of managerial experience
Experience in Informatica (BDE)
Experience in Hadoop (Hortonworks)
Superior knowledge of systems technology and functional area
Advanced technical and business knowledge of organization policies and procedures
Demonstrated management, leadership and interpersonal skills
Demonstrated analytical, project management and tactical planning skills
Experience in developing and managing project budgets

Big Data Client Experience Manager Resume Examples & Samples

Creates and socializes the business case for investments in the people, process, and technology to utilize client analytics to serve up relevant experiences at the individual client level
Designs, builds, and leads team of analytics and project management trained professionals supporting Retail Services' client strategy, internal business segments, and working with data analytics partners to align client level insights to specific actions to unlock value for the department
Designs and implements big data analytics strategy in Retail Services, internally segmenting 6.5 million clients and serve them in a personalized and targeted fashion across channels. Internal segmentation involves continuously deepening business understanding of clients' needs and behaviors, propensity to adopt services, profitability, and outside share of wallet opportunity. Implementation involves taking action on the insights to drive business results through testing and experimentation, and continuously learning and refining the strategy from the results achieved
Builds relationships with RIG business leaders and partner organizations to unlock products product penetration and improved client experiences utilized personalization and experimentation
Provides education and consulting to RIG business lines undergoing comparable transformations
Designs, Supports, and Implements process and technology solutions that support RIG client targeting functionality
Designs and continuously optimizes segmentation and service models within Retail Services, utilizing data analytics to drive decision making
Develops targeted strategies and treatments (services, products, campaigns) to drive client growth, consolidation, and service adoption, based on client analytics insights
Serve as business lead on cross disciplinary teams evaluating and expanding RIG data analytics infrastructure capabilities
Minimum five years general experience and five years industry experience
Minimum five years big data or advanced analytics experience preferred
Management/supervisory experience preferred
Exceptional client relationship, leadership, organizational and interpersonal skills
Excellent analytical, problem solving and project management skills
Ability to work quickly and independently with attention to detail and sensitivity to deadlines
Demonstrated proficiency related to understanding control functions and reconciliation preferred
Strong PC skills (Microsoft Office)

Big Data Operate Lead-digital Resume Examples & Samples

Significant participation in the implementation, debugging and performance tuning of big data messaging, data and analytics solutions
Partnering with senior architects and application development teams to define big data application infrastructure requirements including performance and capacity
Partnering with infrastructure teams on the build out and ongoing support of the platform
Manage technical risks for all application infrastructure and platform dependencies
Champion operational stability of platform through peer reviews, governance, automation and monitoring
10+ years of experience in middle-tier/backend systems development in Java/Linux
Big data background with experience designing and implementing large scale systems
Extensive experience with horizontally scalable and highly available system design and implementation, with focus on performance and resiliency
Extensive experience profiling, debugging, and performance tuning complex distributed systems
Willingness to commit extra effort to meet deadlines as required on a high profile and business critical project
Bachelor’s degree or better in Engineering, Computer Science, or Information Technology
Working experience with Enterprise Java development, NoSql data platforms (Cassandra), Pub/sub messaging (Rendezvous, AMPS, Kafka, etc.), Stream processing (Storm, Spark Streaming, etc.)
Consumer banking knowledge

Big Data Solutions Engineer Resume Examples & Samples

You will design and code solutions on and off database for ensuring application access to enable data driven decision making for the company’s multi-faceted ad serving operations
Working closely with end user communities of Analytics, Decision Sciences and Operations to ensure enterprise data warehouse solutions and assets are actionable, accessible and evolving in lockstep with the needs of the ever changing business model
You design, develop, test, deploy, maintain, and enhance software solutions
3-5 year of experience in maintaining and developing database and HDFS applications
Experience with NoSQL databases
Experience with BI tools and reporting frameworks

Senior Big Data Technical Lead Resume Examples & Samples

Develop relationships with Dev teams to build robust solutions
Identify and Implement tools for increased productivity, security, reliability, and performance
Analyze and understand the business requirements, specifications and high-level solution designs
Provide guidance and direction to the off-sure team and follow best practices and drive towards business goals

Test Lead-big Data Resume Examples & Samples

Design and implement robust, scalable, and high quality Test automation suites, to improve quality and productivity of functional and regression tests
Enjoy challenges of handling testing and maintaining high quality bar in a complex and constantly changing environment. Develop test plans, conditions and scenarios in support of ongoing business system applications and infrastructure
Perform data analysis, provide QA support for existing systems, and troubleshoot data and/or issues within the platform components, as needed
Drive architectural design decisions and tradeoffs
Invent elegant solutions
Eliminate roadblocks
Be a technical leader
Understanding of Data warehousing principles and experience in Database testing
Experience building automated test frameworks and implementing QA solutions from the ground up
Strong skills in creation, validation and coordination of systems integration, testing efforts and user acceptance testing
Experience with tools, databases and technologies like SQL, Teradata, Hadoop, Hive
Knowledge of Linux
Self-starter who enjoys and takes pride in their work
Ability and desire to work in an exciting environment and stay motivated and flexible
Experience working in an Agile environment is a plus
Ability to work with Product managers, architects, engineers, Dev Ops teams, to resolve technical, procedural, and operational issues

Big Data Infrastructure Engineer Resume Examples & Samples

Bachelor’s in Computer Science, Software Engineering, or a related technical discipline
Minimum 7 years’ experience in Java Development
Minimum 5 years’ experience in Spring web development
Minimum 4 years’ experience with Load balancing
Minimum 3 years’ experience CI/CD Development Experience
Minimum 1 year experience with AWS
Must have prior work experience in an agile team environment and must demonstrate competency developed through prior work experience with the following: Java and Python; Application clustering / load balancing concepts and technologies; and with SQL Queries, performance tuning and management of map reduce jobs

Big Data Infrastructure Engineer Resume Examples & Samples

You will be developing unit tests, running code reviews, building integration test frameworks for distributed systems
You will run our CI/CD pipleline management for data workflows
You will be developing integration test suites for distributed systems
Utilize your excellent communication skills to assist in conducting user interview sessions, requirements gathering, and design reviews
Programming skills; You are comfortable writing code in multiple languages, confident in choosing the right strongly or dynamically typed language for the job. Preferred language
Automation; Managing infrastructure as code is the only solution in your book. You have hands on experience writing code for some of the major configuration management systems

Big Data Platform Engineering Manager Resume Examples & Samples

Strong interpersonal skills with a collaborative attitude
Ability to manage people reporting to them and create a supportive work environment leading to professional growth
Demonstrated practice in managing multiple projects, tasks, and priorities
Passion for emerging digital trends and technology
Excellent understanding of both relational and non-relational data patterns
Excellent understanding of enterprise software design patterns
Experience managing both development and operations teams
Experience with common Big Data platforms and tools such as Hadoop, Cassandra, Kafka, Spark, Elasticsearch, Splunk, Mesos
Excellent understanding of common CI/CD platforms and patterns
Advanced data analysis and processing skills
A demonstrated track record of consistently meeting and exceeding performance expectations

Big Data Lead Developer Resume Examples & Samples

Provide hands - on leadership for the design and development of ETL data flows using Hadoop and Spark ECO system components
Lead the develop of large - scale, gh - speed, and low - latency data solutions in the areas of large scale data manipulation, long - term data storage, data warehousing, Low - latency retrieval systems, real - time reporting and analytics Data applications - visualization, BI, dashboards, adhoc analytics
Rapidly architect, design, prototype, and implement architectures to tackle the Big Data solutions
Work in cross - disciplinary teams with our company experts to understand client needs and ingest rich data sources
Research, experiment, and utilize leading Big Data methodologies such as Hadoop, Spark etc
Architect, implement and test data processing pipelines on a variety of Hadoop hosted clusters
Design & implement work flow jobs using Talend & Unix / Linux scripting to perform ETL on Hadoop platform
Design, develop and implement ETL data flows jobs using Hive / Pig or Java Map / Reduce
Ingesting data into Hadoop layer using various big data technologies (eg. Pig, Hive, Map / Reduce)
Translate complex functional and technical requirements into detailed design
Perform analysis of data sets and uncover insights
Work with the System Analyst and development manager on a day - to - day basis
Work with service delivery (support) team on transition and stabilization
Responsible for integrating all development with the architecture used across the company
Working with the team on a day - to - day basis and guiding them for the development and doing Code reviews etc
8+ years of hands - on experience in designing, leading, & developing enterprise application solution for distributed systems
5+ years of hands - on experience with Java OR Python OR ETL tools as a developer
3+ years Big Data development experience
Understanding of database internals and data warehouse implementation techniques; working knowledge of SQL
Solid understanding of data structures & common algorithms
Understanding of time - complexity of algorithms
Experience with HBase, Talend , NoSQL databases
Experience Apache Spark or other streaming big data processing
Experience in Hadoop ECO System
Strong experience in Java and PIG
Experience with Python & Scala
Experience loading from disparate data sets
Pre-processing experience using Hive / Pig / Python / Unix scripting
Experience in Linux, XML, JSON, REST
Experience with UNIX and Shell scripting
Hands - on experience with Hadoop, Map / Reduce, Hive, HBase & Pig
Ability to write Pig Latin Scripts
Hands - on experience writing Hive QL and tuning Hive QL
Knowledge of workflow / schedulers like Oozie
Previous experience with Healthcare industry
Able to work well in extremely fast paced and entrepreneurial environments Independent self-starter who is highly focused and results oriented

Big Data Developers Resume Examples & Samples

Recommend, design and code efficient and effective solutions for challenging problems for medium to large work efforts of medium to high complexity
Comply with standards and guidelines related to the design, construction, testing, and deployment activities within the Delivery Management environments
Demonstrate collaborative skills working within a project team of diverse skills
Act as a Project Development Lead with one or more developers matrixed for the completion of the project
Provide technical over sight to multiple development initiatives
Minimum of 3 + years of experience in big development initiatives
2+ years of experience in developing distributed computing systems applications using Hadoop, MapR, Hbase, Hive , Java/MapReduce, Spark, Scala, Storm,Kafka,Flume,Sqoop, Datasynapse, Pig, Cloudera & Hortonworks
2+ years of experience building XML documents
Bachelors degree (or higher) is required
Experience with troubleshooting performance issues, SQL tuning
Experience with applications systems analysis and/or development and/or support
Experience with with high level technical phases of applications systems analysis and programming activities
Experience with any SSH client
Highly experience with complex shell scripting using Unix, PERL & Python
Strong knowledge in data base technologies Teradata, Oracle, SQL Server, DB2, Netezza and GreenPlum
4+ years of experience with TWS/d job scheduler automation tool
AIX
UnitedHealth Group experience
Knowledge with HIE formats 837 i&p, HL7/ADT

Big Data Development Manager Resume Examples & Samples

Provide functional and technical oversight for 25 architects and developers across 8 scrum teams who will
Bachelor's degree (or equivalent professional experience)
5 or more years of application development experience
3 or more years of experience leading and mentoring technical team members on information technology projects
1 or more years of experience leading Hadoop Big Data development projects
Ability to obtain favorable adjudication following submission of Department of Defense eQuip Form SF86 (applying for and receiving NAC clearance immediately after hiring is a mandatory requirement)
Talend experience
Java proficiency
MapR experience
SQL Server development experience
Hive experience
Unix shell scripting experience
Formal personnel management experience

Senior Analyst, Big Data Resume Examples & Samples

Seasoned business intelligence or data analyst, with exceptional quantitative marketing and analysis skills typically obtained during 5-7 years of experience in a similar progressively responsible role
Proven experience with quantitative analysis; facility with MicroStrategy and Excel required
Experience with complex organizations and experience with health care marketing, is strongly preferred
Specific Health Care Data Analysis experience strongly preferred
Demonstrated experience in statistical analysis, understanding of database architecture, and experience with data hygiene and database management
Experience working with healthcare transactional data and other health related data sets as well as knowledge of federal and state laws pertaining to healthcare information privacy and security
Proven understanding of healthcare marketing trends and the quickly evolving digital/social media environment to provide the necessary analytics and metrics to drive informed business decisions while building an understanding of consumer life-cycles and purchasing behavior
Solid understanding of online marketing and key performance metrics (cost per lead (CPL), cost pre acquisition (CPA), return on investment (ROI))
Demonstrated expertise regarding data models, database design development, data mining and segmentation techniques
Extensive knowledge of data analysis techniques and methodologies, including experience using statistical packages (SAS, SPSS, and others) for analyzing large datasets
Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, Java, or ETL (extract, transform, and load)) frameworks
Understanding of and experience with Lean or other process improvement philosophies and methodologies desired
Strong analytical and research skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail, including exacting standards to maintain accuracy and impartiality of all work products
Proficiency in Microsoft Excel, including using formulas and creating charts and pivot tables
High level of proficiency in Microsoft Word and PowerPoint; conversant in Access, Visio, data management (Powerview, VBA, or CRM), and statistical analysis packages (SAS, SPSS, and others) and data visualization software such as Cognos or Business Objects
Strong quantitative, verbal and written communications skills with the ability to efficiently translate complex data insights into actionable marketing strategies and initiatives that drive growth in traffic, user engagement, brand awareness and revenue
Ability to juggle multiple projects at the same time
Proven ability to communicate research results clearly and concisely in both verbal and written form
Skilled in project development and management
Ability to work collaboratively and collegially with staff from across Sutter Health and outside organizations

Big Data Engineering Manager Resume Examples & Samples

Bachelor's degree in Computer Science, Software Engineering, Information Systems (or related field of study)
10+ years of experience in software development
3+ years of experience as software development manager or as a technical lead
4+ years of experience developing big data based applications working with technologies including Hadoop, Flink, Hive, Impala, Kafka, NoSQL, Spark, etc
5+ years of experience with all of the following: Agile, Java, Javascript, SQL, Tomcat, Subversion, Unix
Any experience working predictive models and data scientists is a plus
Needs to demonstrate exceptional decision making ability in a dynamic and an aggressive environment
Has high standards, results oriented, pro-active and a commitment to delivering high quality software on time
Experience with leading, mentoring, inspiring, and training remote and distributed teams
Ability to see, understand, and maintain the big picture (i.e. vision) perspective while demonstrating the ability to dive deep and be hands on into a given a software development effort if needed
Experience with code optimization and performance tuning

100

Big Data Linux Engineer Resume Examples & Samples

Experience with implementing and supporting production Hadoop based infrastructure for an enterprise
Experience with Cloud technologies, including Apache Solr or Apache Accumulo or performance tuning
Experience with deploying software and configuration changes using Puppet or Chef
Experience with high level scripting languages, including Python, Perl, and common Linux utilities
Experience with IT problem solving and recovery from failures, remediation, and reporting
Experience with working in and maintaining PaaS environments, including Kubernetes, Mesophere, Flynn, or Deis
HS diploma or GED required
DoD 8570 Security Certification, including Security+, CISSP, or CASP
Experience in working with IT architecture teams and IT vendors
Experience with data driven IT problem and defect management, change management, or capacity management
Experience with team leadership
Knowledge of search applications, including Solr, ElasticSearch, Hibernate Search, or Lucene
Ability to balance multiple concurrent activities and manage time efficiently
Ability to logically sequence operational activities and oversee the work activities of others within a network operations team
Ability to learn new skills and technologies
RedHat Certified Systems Administration (RHCSA) Certification

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Director, Big Data Service Management Resume Examples & Samples

Manage scope & schedule for releases
Coordinate application release schedules & milestones
Coordinate all cross application dependencies and downstream impacts
Perform Impact Analysis of the Change
Design and implement efficient procedures for deployment of changes to IT systems
Ensure implementation is traceable, auditable, compliant and that only approved versions are deployed
Build out Annual Release Plans utilizing industry standard Portfolio Project Management tools
Build out Integrated & Non-Integrated Release Milestone Dates and align with UHG Integrated Release Calendar
Conduct weekly Release Management Status Meeting and produce weekly status updates
Create all necessary Release artifacts (ex: Release Plan, Deployment Plan, Deployment Readiness Checklist, Release Closure Memo etc.)
Provide release status to stakeholders
Coordinate with IT and business teams to prioritize enhancements and defects into releases
Apply accepted project and release management disciplines to drive release successes
Accountable for assigned audit related /compliance activity
Participate in continuous improvement activity
10+ years of experience working hands-on with all aspects of the SDLC
5+ years of experience working and managing with multiple cross-functional teams in a highly collaborative environment
4+ years of IT Project Management experience
3+ years of Release Management experience

102

BIG Data Expert Resume Examples & Samples

Build new skills within the team and develop people capabilities in Big Data
Generate new Big Data projects
Manage delivery of current Big Data projects
Proven ability to work creatively and analytically in a problem-solving environment

103

AWS / Big Data Technical Lead Resume Examples & Samples

AWS Codebase Migrations for large scale BI/DWH projects
Exposure in Project Management
Qualifications: 6-12 years experience, Bachelor’s Degree
Must have experience in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management
Should be proficient in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design

104

Big Data Managment Resume Examples & Samples

The Data Analyst role resides within the client GDIA organization supporting data operations and the OneFord Plan for profitable growth. In this role, you will support data requirements of the Data Scientists and Data Analysts who are using data and analytics to achieve business outcomes providing insights to accelerate customer, vehicle and application initiatives
This position will help bring data to life to solve business problems and provide data support for enterprise to include data integration tasks, such as, ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications
You will be responsible for providing data support and integration tasks for the enterprise, including ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications
Work on various data types across the enterprise including Customer, Manufacturing, Dealer, Vehicle, product development, finance, etc
Data profiling and data exploration of data for better understanding and analytic support
Work closely with the Data Scientists and data analysts to better understand and evaluate data requirements and the type of data needed
Support the data requirements of the different functional teams such as Marketing Sales and Service, Product Development, General Counsel, Finance, Quality, etc. and regional initiatives
Evaluate, explore and work with different data platform technologies including Big Data, RDBMS (Relational Database Management Systems) and NoSQL to meet the analytics requirements
Implement an Enterprise Data Governance model and actively promote the concept of data sharing, data reuse, data quality, and data standards
Serve as data subject matter expert and demonstrate an understanding of key data management principles and data use
Drive Master Data Management (MDM) strategy and governance model for Master Data
Minimum of 5 years of experience in a data management role including running queries and compiling data for analytics
Minimum of 3 years of experience in data design, data architecture and data modeling (both transactional and analytic)
Minimum of 2 years of experience with Big Data / NoSQL technologies, Hadoop (HDFS, MapReduce, Hive, Shark, Spark, QlikView, etc.), with knowledge of command line experience with loading and manipulating files within HDFS
Bachelor's Degree in Analytics, Statistics, Computer Science or a related field from an accredited college or university

105

Big Data Resume Examples & Samples

TS/SCI with Full Scope (polygraph) federal clearance
2+ years of hands-on, large-scale, software development / integration experience using Java/JEE technologies
At least one project engagement with experience using the technologies in the Hadoop ecosystem such as: Hadoop, HDFS, Spark, MapReduce, Pig, Hive, Flume, Sqoop, Cloudera Impala, Zookeeper, Oozie, Hue, Kafka
Experience applying interpersonal abilities to client-facing systems implementation projects
Exposure with search systems (Lucene, Solr, ElasticSearch)
Exposure to high availability configurations, Hadoop cluster connectivity and tuning and Hadoop security configurations
Good understanding of relational databases and solid SQL skills
Good understanding of Operating Systems (Unix/Linux), Networks and System Administration
Interest in learning and contributing to the learning of others through contributions to open source projects and mentoring of junior resources
BS/MS in Computer Science or related field
Intellectually curious, reliable, and flexible team player
Passionate about delivering quality

106

Senior Technology Analyst / Big Data Resume Examples & Samples

A bachelor’s/master’s degree in Computer Science or related field from a top university; MBA is desirable
4-6 years of professional experience in IT, IT services or consulting work
1-2 years of experience in the development of open source big data platforms, including: Hadoop, Hive, HBase, Pig, Spark, Sqoop, Flume, Kafka
Pprogramming experience in SQL, Java, Python, R, Scala
Experience developing 2-3 end-to-end big data/cloud based solutions across multiple technologies
Proven ability to lead both on-shore and off-shore teams in the development of big data solutions
Deep expertise in the principals and architecture of various technologies within the big data stack is required
Ability to communicate clearly and effectively in interpersonal and written formats

107

Big Data Resume Examples & Samples

Collaborate with managers or practitioners in the business unit to determine systems requirements and functionalities needed in new or revised application
Develop detailed specifications of application and document in a form that it can be used for coding application
Perform or review coding done to render specifications into application functionalities, screens, or outputs
Develop test plan and/or test application in development status or debug application in production mode
Document or review documentation of steps in specification development, coding, testing and user acceptance for future reference and for internal control purposes
May lead a small project or a segment of a larger project
May mentor or provide technical guidance to less experienced staff
2+ years of related experience
2+ years of hands on experience and strong and deep knowledge of Java application development
2+ years of hands on experience in LINUX, Java/J2EE, SOA and Oracle platforms
1 – 2 years of building and coding applications Using Hadoop Components – HDFS, Hbase, Hive, Sqoop, Kafka, Storm, etc
1 – 2 years coding Java MapReduce, Python, Pig programming, Hadoop Streaming and HiveQL
1 – 2 years implementing relational data models
Minimum 1 year experience developing REST web services
Vendor management experience leveraging staff augmentation and/or outcome based project delivery models as well as statement of work planning and incremental demand forecasting

108

Lead Big Data Resume Examples & Samples

Provide design leadership in large or complex development projects involving application development, migrations, additions to existing applications. Participate in project meetings with other technical staff and business owners and subject matter experts
Develop or review development of test protocols for testing application before user acceptance. Review test results and direct further development
May serve as technical lead, architect, project lead or principle developer in course of large or complex project
May provide, or guide provision of technical support to applications currently in production
May mentor or guide work of less experienced programming and development staff
8+ years of hands on experience and strong and deep knowledge of Java application development
6+ years of hands on experience in LINUX, Java/J2EE, SOA and Oracle platforms
Experience processing large amounts of structured and unstructured data. MapReduce experience is a plus
1 – 4 years experience building and coding applications using Hadoop components – HDFS, Hbase, Hive, Sqoop, Kafka, Storm, etc
1 – 4 years experience coding Java MapReduce, Python, Pig programming, Hadoop Streaming and HiveQL
1 – 4 years experience implementing relational data models
Minimum 2 years experience work experience or exposure to traditional ETL tools & RDBMS databases
Experience with Agile/Scrum development methodologies
Experience leading and managing large scale, complex applications with high performance needs
Vendor management experience leveraging staff augmentation and/or outcome based project delivery models and statement of work planning and incremental demand forecasting

109

Senior Manager, Big Data Resume Examples & Samples

Be a part of the evolution, we are using data in groundbreaking ways. This is not your traditional warehouse, or big data team. We don’t just think outside-the-box but we are outside-the-box. This is a very unique opportunity for the right candidate. This role will be embracing all the new big data tools and technologies, working with a great team to add innovative value through data. This role also has the rare opportunity to build and cultivate big data capabilities within Mylan
Be the Subject Matter Expert for big data practices, concepts, and strategy
Lead the efforts in in building and supporting Advanced Analytics through Hadoop, Streaming Analytics, Internet of Things, NoSQL, Data Orchestration, Data Munging
Develop on a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels
Design and develop patterns & frameworks for big data initiatives the Data Lake and other data tools including data architecture, data ingestion, data preparation, data marts, and visualization analytics
Develop API’s that make big data available for different applications. Build Proof of Concepts using the technologies available
Collaborate with Data Scientists and other data professionals to translate data in to insights. Advise on data strategies including Mylan’s data lake, clusters, processing and other big data initiatives
Coach the team on the latest big data best practices and techniques. Ability to show flexibility, initiative, and innovation when dealing with ambiguous and fast-paced situations
Develop techniques, methods and approaches for organizing and manipulating of multi-structured datasets. Be familiar or be able to familiarize yourself with Azure, HDInsight, API development, and web technologies
Minimum of a Bachelor's degree (or equivalent) and minimum of 6 years of experience. However, a combination of experience and/or education will be taken into consideration
Must have at least two years of hands on Big Data and Analytics experience and at least five years data management experience
Must have a strong understanding of the Hadoop environment. Experienced in data tools stack including Spark, Sqoop, Pig, Flume, Python, Hive, Hbase is required
Knowledge and experience of data preparation/curation with tools like Informatica, and Alteryx
In-depth understanding of business operations, objectives and strategies including but not limited to global business and analytics trends and understanding of latest developments or changes in the industry
Knowledge in Big Data Architecture, Information Architecture, Data Engineering and Data Analytics (Data Science) in a cloud-based environment
Ability to leverage cloud based platforms for big data technologies, open source software and information management architecture and framework

110

Senior Manager, Big Data Innovation Resume Examples & Samples

Lead the initiative in developing and executing an ongoing strategy for Big Data enterprise wide, while continuously evolving the platform, analytical and data management tools
Partner with Business and IT stakeholders to evolve, enhance and refine Big Data use cases and applications based on clearly defined business drivers and benefits
Collaborate with various Business and IT groups to identify and develop interface points with internal and external 3rd party platforms and data sources
Lead cross-functional teams to fully implement Big Data solutions by adopting iterative, agile development, automated testing, quality assurance and release management methodologies/best practices/standards
Lead Big Data design and development team in delivering scalable and reliable Big Data solutions leveraging Hadoop Data platform, traditional RDBMS, BI tools, SaaS platforms and APIs
Manage cost estimates including hardware, software, labour, licenses
Manage team of highly motivated individuals that deliver on strategic initiatives, and provide ongoing coaching on both current and future technology
Ensure detailed documentation is maintained as required by SDLC
Set standards and practices on deployment, optimization and tuning of Hadoop development and framework
Hadoop 2.0 Developer, Administrator or an equivalent certification
3+ years of production experience managing cross-functional project teams – clients, developers, solutions design, production support, 3rd parties and vendors
1+ years of Production experience managing Big Data environments and development teams
1+ years of production experience managing Hadoop application development, installations, performance tuning, configuration, and optimization
1+ years of production experience deploying Hadoop core components and services: HDFS, YARN, Hive, Pig, HBase, Spark, Sqoop, Falcon, Oozie, etc
Strong background in Business Intelligence and production experience with Data warehousing projects and programs
Production experience and excellent understanding of Data Warehousing lifecycle principles and best practices
Experience working with virtualized and physical environments, including public and private cloud
Highly motivated and very proactive individual, dedicated to follow-up/follow through without reliance on management for direction

111

Big Data Platform Lead Resume Examples & Samples

Administer and maintain Pivotal/Hortonworks Hadoop, Greenplum, and GemFire clusters across all environments, including production, user acceptance testing (UAT), development, and disaster recovery environments
Install and configure Hadoop ecosystem tools, including Spark, Kafka, Rabbit, ELK, and Neo4J
Proactively monitor cluster health and perform performance-tuning activities
Perform capacity planning and expansion activities, working across Infrastructure and other Enterprise Services teams
Configure and maintain security policies
Experience in financial services or the retail industry
Experience collaborating with teams of internal and external technical staff, application teams, software support, and operations staff
Excellent interpersonal skills in areas such as teamwork, facilitation, and presentation to management teams
Experience with Agile project management methods and practices

112

Big Data & Data Management Solutions Business Developer Resume Examples & Samples

Solutions Know-How in
Expertise in concepts of Big Data (on Hadoop), Data Warehousing, Database Management System and Enterprise Information Management
Build and sell abilities
Experience in Data Management concepts and architecture
Background in demand generation, consultative selling and convincing customers
Senior level experience driving complex and leveraging revenue topics
Able to deliver clear, convincing and well-organized presentations. Credibility even in highly visible and/or adversarial situations
Leadership role experience: Able to plan, organize and manage resources to bring about the successful completion of specific goals and objectives
Knowledgeable about how organizations and communities work; knows how to get things done through formal and informal channels; understands the origin and reasoning behind key policies, practices and procedures; understands cultures of organizations and communities. Marshal resources effectively and efficiently (people, funding, materials, support)

113

Student for the Big Data Hub Development Team Resume Examples & Samples

Student (f/m) at a university or university of applied sciences
Preferred field(s) of study: Computer Science or related fields
Computer skills: Java/Scala, JavaScript, or Python
Language skills: fluent in English (written and verbal)
Soft skills: Ability to work in a multi-national and multi-cultural team

114

Account Executive Big Data Resume Examples & Samples

Demonstrable experience in sales of complex business software / IT solutions ideály to central government organisations such as DWP, HMRC, Justice, Defense and blue light Services
Experience in lead role of a team selling environment
Proven track record in business application software sales
Demonstrated success with large transactions and lengthy sales campaigns in a fast-paced, consultative and competitive market
Exceptional contractual and negotiation skills
Business level English: Fluent

115

Director of Big Data Resume Examples & Samples

5 years of experience in system design and development in building large scale distributed systems and products
5 years of experience in JVM based programming language like Java or Scala
3 years of experience working as an architect and ability to think at a high level about the overall systems and goals of the project
3 years of experience working with SQL database
3 years of experience in utilizing Hadoop (HDFS and MapReduce) and big data technologies

116

Big Data Platform Administrator Resume Examples & Samples

Availability and performance of Hadoop infrastructure
Install, upgrade, configure and maintain Greenplum and Hadoop clusters
Manage and review Hadoop, Greenplum logs
Manage and review Backups
Support and troubleshoot BI issues associated with Hadoop
Work with infrastructure teams to install, upgrade and patches as required
Work with data warehouse, security, network and storage teams to implement and troubleshoot
Design, implement and maintains security at Hadoop and database level
HDFS support and maintenance
Cluster monitoring and troubleshooting

117

Big Data Senior Solutions Principal Resume Examples & Samples

Ability to analyze data, and create analytical and statistical models that correlate multiple data sets and provide insights that help solve business problems. Data modeling, and design of statistical algorithms
Proficiency in R, SAS and/or other statistical software’s Proficiency in Tableau, ClickView and/or other visualization tools
Good Hadoop and Map Reduce experience – HortonWorks or Cloudera
Strong understanding of machine learning

118

IT Data Engineer, Big Data Resume Examples & Samples

Proficiency with Python, Java, SQL
Minimum 2 years’ experience data modeling for Data Warehouses (Kimball, Inmon, Data Vault)
Minimum 2 years’ experience using ETL tools (Informatica, WhereScape, SSIS)
Minimum 2 years’ experience developing with relational databases (MS SQL, Oracle, MySQL)
Experience with MPP data platforms (Hadoop, Teradata)
Experience with NoSQL databases (HBase, Cassandra)
Experience with data visualization tools (Tableau, Business Objects, SSRS)
Ability to analyze problems, identify and implement solutions

119

IT Service Management Leader Big Data Technical Lead Resume Examples & Samples

Governance of the Big Data technologies such as Hadoop & related softwares & tools that comprises GE Power Data lake via regular reviews of design & code, Guidance & check for adherence to best practices and standards to project team as well as Act as Gate-keeper to the environment by communicating non-compliance to project team
Monitor and prioritize the open issues to expedite closure and serve as an IM point of contact for escalation on all matters related to Big Data technologies, and provide for L3/L4 level support when needed
Operate in “Dev Ops” model wrt Big Data technologies such as Hadoop & related software in GE Power which includes being hands-on with the technologies in terms of development, troubleshooting & guiding others to achieve desired optimal outcomes
Administer Big Data environment including managing Security & Integrity of environment as well as maintaining the configuration & managing upgrade & releases
Develop automation capabilities on the environment, build platform performance monitoring tools and capabilities as well as Troubleshoot & Tune Business processes & Poor performance on the environment
Develop and maintain relationships with business partners, project teams, key strategic vendors and peers
Bachelor’s Degree in Information Systems, Information Technology, Computer Science or Engineering from an accredited College or University (or a High School Diploma / GED with a minimum of 4 years of experience in the application of information technologies to business solutions)
Minimum 5 years Hands on Development, IT operations & change management experience with business systems, including working with all aspects of the systems development life cycle (requirements through implementation)
ITLP Graduate and/or Black Belt / Green Belt Certification or equivalent quality certification
Enterprise-level experience implementing and maintaining BI platforms
AWS Experience
Experience working in a global team environment with members working remotely in various time zones
Strong prioritization, quantitative and analytical skills
Ability to manage and work on multiple projects concurrently; formulate clear and concise objectives and plan
Process focus with a keen sense for driving standardization and simplification

120

Big Data Resume Examples & Samples

Responsible for development of new product and proof of concepts using Hadoop
Interact with product manager and technical architect for understanding the business issue and come up with innovative technical solutions
Responsible for building scalable distributed data solutions using Hadoop
Analyze the issue and bring the insights out of data
Designing a sustainable data-ingestion solution to maintain data lineage for long term viability
Data cleansing and transformations
Setting up the big data environment to perform the analysis
Experience with Hadoop applications on administration, configuration management, debugging and performance tuning
Installing, configuring, and administrating Hadoop cluster of major Hadoop distributions
Hands-on experience in writing MapReduce jobs in Java, Pig and Python
Extensive experience in designing analytical / OLAP and transactional / OLTP databases
Working with Java, C++ and C
Creating web-based applications using ActiveXControls, JSP, Servlets
Experience advanced visualizatoin tools and techniques will be plus
Sfdc experience will be a plus
Education: Bachelor’s degree from reputed institute

121

Global Segment Leader, Big Data Resume Examples & Samples

Be the subject-matter expert (SME) for the Big Data segment including a knowledge of the top ecosystem partners that make up our Big Data segment
Own the strategic plan for each market segment, which includes aligning with partner development managers who manage our top AWS technology and consulting partners focused on Big Data, maximizing influenced revenue driven with and through APN partners
Working with partner development managers, build C-level relationships with our top partners and generate interest in new AWS programs focused on Big Data
Execute go-to-market and routes-to-market plans that have clear and measurable ROI models
Define and own the requirements and benefits of the Amazon Partner Network (APN) Big Data Competency Program
Prepare and give business reviews to AWS senior leaders
Effectively team with PR, marketing, legal, and support
Strong technical acumen, with a demonstrated track record of driving emerging/disruptive technologies like open source software, virtualization, and Software as a Service delivery models
Demonstrated expertise in Big Data software, tooling, implementation approaches, and industry trends
Prior start-up experience as a founder or executive focused on the Big Data segment, or as a Big Data practice leader or business unit owner
Prior track record of influencing innovation through a partner ecosystem with either solutions and/or programs that have demonstrated success at Enterprise customers

122

Senior Technical Leader Big Data Personalization Team Resume Examples & Samples

BS or MS degree in computer science or related field
8+ years software engineering experience
Strong coding experience, preferably with Scala, Python, Java, or C++
Strong grasp of data structures and algorithms
Ability to explain complex issues in technical and non-technical terms
Cares deeply about agile software practices, data driven development, and collaborating with other engineers and researchers
Working knowledge of Hadoop, Spark, Redshift, DynamoDB, Kinesis, or other big data technologies
Experience with supervised and unsupervised machine learning models
Experience with collaborative filtering and recommender systems
Experience running and evaluating AB Tests

123

Big Data Technical Lead Resume Examples & Samples

Minimum five years broad senior technical experience
Experience across numerous technologies including Java, Restful services, Client Side Architecture with AngularJS, HDFS, Hive, Impala, Oozie, YARN, Sqoop, Zookeeper, Flume, Spark, Kafka
Must be able to work across a broad range of technology opportunities and conceptualize solutions
Must be able to collaborate with other architects and delivery teams and communicate complex technical concepts

124

Data Analyst, Big Data Resume Examples & Samples

A story teller …tuck us in bed and tell an insightful story with data
5-10 years as a power user of traditional BI tools – Business Objects, Microstrategy, Cognos, etc
3-5 years of experience on leading analytic technologies – Tableau, Platfora, Mixpanel, Qlik, etc
Strong business modeling
Nice. Fun. Happy. (we have a firewall keeping mean, boring and angry people out)

125

Senior Data Analyst, Big Data Visualizations Resume Examples & Samples

Drive insights
Build supporting data visualizations in R
Write detailed analytic requirements
Profile and understand the data
Own the delivery, stand in the spotlight
Rock star R experience (not just course work)
Advanced Tableau dashboard creation
Extremely strong statistical analysis and storytelling
Very advanced Powerpoint or Keynote skills
Scrappy. Able to figure anything out
Hungry to learn new technology – Big Data, Hadoop, etc. A deep desire to be more techie
Basic unix command line knowledge
Flexible and determined
Communication. Magical skills of influence
Bachelors degree in a technical/scientific field or equivalent work experience

126

Senior Engineer, Big Data Resume Examples & Samples

Master’s* degree (or foreign equivalent) in Computer Science, Electronic Engineering, or a related field
2* years in the job offered or related positions
2 years of experience managing large amounts of structured and unstructured data using at least 8 of the following technologies: Hadoop, HBase, Cassandra, MongoDB , Pig, Hive, Spark, Splunk, Sqoop, Flume, Zookeeper, Kafka, Oozie/UC4, MLLib, MRUnit and/or PIGUnit
2 years of experience of with machine data analysis, ETL, data warehouse & visualization technologies and working on large-scale analytics and data products
2 years of experience developing application using at least three of the following RESTful web services: NodeJS, Java, Maven, Jenkins, C++, Java, and/or Python
2 years of experience designing and implementing data analysis applications using Big data and Analytics technologies & tools; and
1 year of experience with Cloud application development methodologies and Cloud environments, including SAAS and PAAS products such as AWS, Rackspace or Azure
In lieu of a Master’s degree and 2 years of experience, employer will accept candidates with a Bachelor’s degree in the above/related fields and 7 years of progressive, post-baccalaureate experience in the job offered or related positions

127

Big Data Resume Examples & Samples

Strong pre-sales attitude developed in similar roles : presentation skills, demonstration techniques, public speaking
10+ years experienced in IT projects( including 5+ years experienced with BI&DW projects)
3+ years experiences Advanced Analytics (R) is preferable
Experienced in driving discovery sessions and delivering high-quality presentations and demonstrations to both business and technical audiences
Self-motivated individual with strong customer interaction and presentation skills. Can interpret and address customer needs Understands the implications of technology on both development and market opportunities
Educated to degree level in a technical or business discipline
Influential communicator and good listener
Team player and ability to share/exchange ideas and materials
Have an excellent command of English

128

Big Data Professional Resume Examples & Samples

Performs IT functions such as design, analysis, evaluation, testing, debugging and implementation of applications programs in support of one or more functional areas such as materials, marketing, accounting, or human resources
Analyzes, installs, acquires, modifies and supports database or utilities software
Plans, conducts and directs the analysis of business problems to be solved with automated systems
May contribute to the development, testing, evaluation or design of system or infrastructure architecture used throughout the IT solution set
Experience developing and/or supporting systems with at least one of the following: data modeling, business intelligence, RDBMS technology, SQL, Java, PERL, Cron, JCL, ETL. Experience working with the following platforms: Windows, UNIX, Mainframe
Individually monitor, troubleshoot and repair database and information management issues
Thorough understanding of RDBMS fundamentals
Define, implement and maintain technology security infrastructure, policies, processes and procedures to proactively protect, monitor, investigate and resolve threats to a secure user environment and company assets
Minimum 8 years of experience

129

Big Data Technical Manager Resume Examples & Samples

Lead the team responsible for design, development, testing, and implementation of ETL and Platform for Big Data technology stack for variety of data driven projects ranging from analytics to operational
Manage and deliver End-to-End application support and maintenance, including Incident Resolution, Service Request Fulfillment, Application Monitoring and Break/Fix support, in line with the Data/platform/application requirements
Provide technical leadership to the team and drive solutions to complex problems
Assess Demand with Plan/Build to align new support services for evolving technology changes and to ensure resource capacity and capabilities are ready for new application support demand
Lead a high performing team, with a culture of continuous improvement, to deliver all commitments in a timely manner
Design, deploy and continuously improve application support and maintenance processes and practices, utilizing standard JPMC ITIL processes
Develop, lead and coordinate communications and relationships across multiple IT and product teams
Establish relationships with business partners, understand business processes, and promote business unit interests
Proactively identify opportunities to streamline integrated job workflows, implement automation and monitoring solutions
Prepare and present the regular management updates
12+ years of experience in applications Development, Data Management and Support services
5+ years experience as data manager responsible for managing team as technical lead for development, delivery and support of ETL and data centric projects
3+ years of experience working with big data technologies and managing a team responsible for development using big data technologies is required
Advanced knowledge of Hadoop ecosystem and related technologies for ETL and data management
Experience of building the applications based on streaming and batch
Good experience of resource management, workload management, and prioritization
Very good understanding of managing the technology and data risks and controls
Ability to partner effectively with internal IT groups and external partners in order to successfully implement and optimize support services
Proven leadership skills to include attracting, mentoring and retaining top IT talent and creating an environment that fosters excellence, collaboration and teamwork
Ability to solve complex business problems and present recommendations to senior management effectively
Ability to define, craft, and help drive strategy to completion while effectively collaborating with others under minimal direction/supervision
Understanding of IT service management principles and practices preferred. ITIL and PMP certification are plus
Bachelor's degree required in computer science, applied mathematics or other quantitative field is required

130

Big Data-service Manager Resume Examples & Samples

Be responsible for the quality of service, for AXA Technology Services Big Data global scope
Be the preferred point of contact for the DIL service management team
Design, implement and maintain service management organization, processes, tools, standards and documents
Design and implement the Service Continuity Management processes
Negotiate, conclude, monitor service level agreements (SLAs ) with key stakeholders
Create, introduce and maintain the service catalog for AXA Technology Services Big Data scope
Perform service management audits and create management reports
Perform availability, performance reviews and trend analysis
Contribute actively to Big Data service management community

131

Big Data R&D Manager Resume Examples & Samples

Proven record of excellence in leadership, innovation and execution
At least 5 years of experience managing a R&D development group of at least 10 people
5 + years’ experience in managing a full development cycle of a large complex product
Proven, hands on experience of Java or Scala development
Hands-on experience in Big data and distributed technologies (Hadoop, HBase, Spark etc.)
Proven experience working in Agile/Scrum methodology, utilizing best practices and development methodologies (CI/CD, DevOps, Test Automation etc.). Familiarity with test automation frameworks & tools
Computer Science degree or equivalent
Cloud development experience (advantage)
Background in analytics and machine learning (advantage)
Job location: Petch Tikva / Jerusalem / Kiryat Gat

132

Big Data Technical Lead Resume Examples & Samples

Mentor team members in web development principles, patterns, processes, and practices
Champion company standards and best practices
Strive to be a thought leader in web development technologies and practices
Build partnerships across application, business, and infrastructure teams
Communicate effectively with both business and technical audiences
Document designs and specifications
Implement solutions that can solve common problems
Research relevant technology trends and recognize trends that are relevant to the retail industry
Work to continuously improve web development processes and practices
Extensive knowledge with open-source projects; Hadoop, Spark, and Cassandra are highly preferred
Knowledge of Big Data manipulation and large data set processing is preferred
Experience with Microservices and cloud technologies is preferred

133

Senior Manager, Big Data Product Owner Resume Examples & Samples

Product ownership of all the algorithms with a focus on creating easily scalable and modular solutions
Ensure alignment between product vision and the technical platform and algorithms that support the product
Partner with Data Science / Big Data Lab teams to implement advanced data matching and arbitration algorithms including (but not limited to) machine learning, text mining, etc
Develop / enhance analytical framework to measure overall data quality improvements and specific business metrics to measure use case level success
Closely partner with Technology team to frame business requirements (user-stories), test and deliver data capability projects using Agile methodology. Also, influence and streamline the data architecture and flow that spreads across multiple platforms
Masters in Computer Science, Engineering, Information Management or a related (quantitative) field, and 2-3 years of relevant experience or Bachelor’s degree with 4-5 years of relevant experience
At least 1-2 years experience in techno-functional product / project management (using agile methodology) to quickly convert ideas into objectives, set priorities and successfully deliver new products & solutions to market
Ability to use data to make informed business decisions. Data analysis skills using SAS, SQL or Hive will be required. Exposure to big data technologies, and experience with big data based analytical products will be a plus
Effective communication and negotiation skills combined with an ability to interact effectively with diverse audience across Business and Technical teams
Information Management experience is highly desired; knowledge of consumer facing business data, and credit card industry (merchant / network / issuer) data will be a plus

134

Big Data Development Lead Resume Examples & Samples

Perform all phases of software engineering including requirements analysis, application design, code development and testing
Design and implement product features in collaboration with business and IT stakeholders
Design reusable Java components, frameworks and libraries
Work very closely with Architecture group and driving solutions
Design and develop solutions to meet the needs of the Loading Data lake
Review code and providing feedback relative to best practices, improving performance etc
Troubleshoot production support issues post-deployment and come up with solutions as required
5+ years hands-on expertise with UNIX shell scripts and commands
5+ years hands on expertise with SQL writing queries and RDBMS
2+ years hands on expertise with Big data technologies (HBASE, HIVE, SQOOP, PIG,)
2+ Agile/Scrum methodology
2 + years of experience leading teams and/or managing workloads for team members
Bachelor’s degree or equivalent experience in a related field
Experience with Splunk and Talend

135

Big Data Analysis Senior Engineer Resume Examples & Samples

Bachelor/Master's degree in Computer Science, Computer Engineering, Math, or Statistics related fields
Experienced with Javascript graph, SQL
Prefer experience with Java Script, Python or R
Prefer experience with building Apps Critical thinking, analytical, able to communicate well in English

136

Senior Big Data Development Lead Resume Examples & Samples

Performing all phases of software engineering including requirements analysis, application design, code development and testing
Designing and implement product features in collaboration with business and IT stakeholders
Designing reusable Java components, frameworks and libraries
Working very closely with Architecture group and driving solutions
Designing and developing solutions to meet the needs of the Loading Data lake
Implementing the data management Framework for building Data Lake for Optum
Supporting the implementation and drive it to stable state in production
Provide alternate design solutions along with project estimates
Reviewing code and providing feedback relative to best practices, improving performance etc
12+ consecutive years in the software engineering profession
12+ years hands on expertise with UNIX shell scripts and commands
12+ years hands on expertise with SQL writing queries and RDBMS
2+ years hands on expertise with Big data technologies (Sqoop, Flume, HDFS, Hbase,Hive , Pig and MapReduce)
4+ Agile/Scrum methodology
3+ years of experience leading teams and/or managing workloads for team members
6+ months Data Fabric configuration and troubleshooting experience
6+ months Hive ORC functionality experience
6+ months IMS and IMS split-merge experience
6+ months MDM experience
6+ months IBM CDC (CODA) experience
Demonstrated expertise in Java programming and frameworks
Splunk, and Talend Studio

137

Senior Big Data Development Lead Resume Examples & Samples

Implement the data management Framework for building Data Lake for Optum
Support the implementation and drive it to stable state in production
Demonstrate substantial depth of knowledge and experience in a specific area of Big Data and Java development
11+ years hands-on expertise with UNIX shell scripts and commands

138

Associate Director Big Data Solutions Resume Examples & Samples

Overall accountability for the day to day operations of the Big Data solutions and managing and delivering on SLAs related to information ingestion / transformations, data services, applications and platform services
Work closely with peers, vendors and other IT organizations to identify what operational services are required to enable exploitation of the Big Data platform
Works collaboratively with Data Stewards and the Business Partner as well as the IT partner to develop the information sourcing roadmap and establish the data quality management plans
Lead Service Design and Implementation in close collaboration with various IT stakeholders, Business teams and external vendors
Establish and communicate operating procedures in alignment to IT Operating Model
Ensure SLA are clearly defined and agreed to by the Business Partner,
Develop operating / resource plans, and lead performance measurement
Seek continuous improvement opportunities
Create a positive team climate of continuous improvement and recruit, lead, develop and motivate staff to achieve objectives and deliver competitive advantage through clear linkages between investment in people and business performance
Provide oversight for the delivery of analytics services to the business and ensure seamless transition of the exploratory / prototyping activities to robust applications
Actively manage external vendors involved in the delivery of the data management and analytics platforms and services
Work within the company and effectively navigate the company stakeholders to identify and categorize information assets in the Big Data platform
5+ years of combined hands - on experience with the following techniques and tools
Experience working in global Health Insurance Payer organization(s), focusing on the following disciplines: data Stewardship, data integration, business Intelligence / Analytics – preferably using Hadoop based solution, data Warehousing, IT Service Management
Basic knowledge of financial / estimating models and budgeting
Excellent interpersonal skills in areas such as teamwork, influence, facilitation and negotiation
Excellent business acumen and leadership skills
Problem solver with having demonstrated the ability to “think out of the box”
Explain complex technical issues in simple, business-friendly language
Knowledge of key aspects of the business
Demonstrated ability to work well with others and be respected as a leader
Motivation that is focused on long - term results

139

Big Data Technical Analyst Resume Examples & Samples

Experience with Java or another object-oriented language
Ability to obtain a security clearance
Experience with Hadoop Ecosystem
BA or BS degree in the information management field

140

Data Engineer Big Data Resume Examples & Samples

Explore data sources (e.g. clickstream, mobile tracking, social media, behavioural data from retail stores, etc.) in terms of relevance, data quality, accessibility and coverage
Model new data points in the context of an enterprise wide analytical data model, document semantics and specify relations to existing data points
Program data integration and transformation routines from data ingestion to the final data mart layer in the big data platform
Develop apps for insights consumption by end users
Act as single point of contact for data related inquiries from data scientists and analysts
Experience working in the Hadoop ecosystem and related projects (ideally Spark)
Experience with RDBMS and SQL

141

Systems Dev Engineer Big Data Resume Examples & Samples

BS Computer Science or other technical degree and/or related experience
2+ years of Linux system administration experience
Knowledge of enterprise IT environments including user management systems, enterprise application management, and enterprise security requirements
Passion for delivering a great customer experience, has relentlessly high standards and results oriented
Has the innate ability to inspire passion in others
Experience working in a cloud computing or virtualization environment
Automation, testing or monitoring framework exposure or, even better, development
Experience with very large distributed systems
RDBMS performance Engineering experience
Linux troubleshooting
System Engineering experience in the cloud
Strong understanding of networking fundamentals
Scripting and programming experience

142

IT Manager Big Data-mn Resume Examples & Samples

Work closely with the Advanced Reporting and Analytics business teams to define reporting needs and support Big Data tools used in business reporting activities
Present our solution(s) offerings aimed at senior leadership
Manage a highly technical staff
Provide coaching and performance improvement opportunities
Responsible for working in the design and implementation phase of the system development life cycle (SDLC) and working with users to evaluate business requirements
Responsible for evaluating existing or proposed systems and preparing detailed operational specifications
Management of key projects to ensure successful completion
Project management, including project coordination and participation in meetings regarding development of proposal strategy through completion
Speak to the project details to both the business and technical teams from the beginning to the end of all projects
Perform research of technology tools to: a) answer technical questions directly and thoroughly b) reflect the proposed service solution c) Influence potential clients of the benefits for our products/solutions to solve their specific problems
Ability to manage multiple projects and work in a self-directed manner in a collaborative group environment with sensitivity to tight deadlines
Contribute to development and implementation process of proposed improvements
Develop innovative approaches for achieving positive proposal response outcomes and driving response completion respective of deadline requirements
Accountable for tracking, monitoring and reporting to senior management the results of product performance and objective milestones
Perform complex product analyses and reporting on performance of assigned product
Product strategy management and execution experience
Demonstrate strong strategic planning and project management skills
Provide support during product upgrade
Participate in issue recovery and root cause analysis of product
5+ years of managing technical teams
5+ years of technical experience supporting data related tools and projects
5+ years of Business and IT Product Development experience
Demonstrated ability to apply analytical/critical-thinking skills to understand complex IT solution offerings and value propositions and define them in succinct, persuasive written responses
Demonstrated ability to perform effectively under pressure practicing strong organizational and time-management skills when faced with multiple, time-sensitive priorities
Big Data tools or development
Data lifecycle management
MAPR/Hive/Spark
Proficiency with MS Visio
Consulting Industry

143

Intern, Big Data & Data Services Systems Resume Examples & Samples

Set up and configure various hosts for running software to verify and demonstrate ability of new test technology
Develop, diagnose and verify test tools that will be part of a complete test solution environment for verifying cloud, mobile, wireless, core and access network products
Utilize open source software and university research projects as relevant to task on hand
Perform demo to stake holders and visitors
Proficiency in Java, Python, C/C++
Phd level school work and hands on programming project experience
Demonstrated ability to collaborate and communicate effectively with developers, researchers, and stakeholders in geographically dispersed locations
Good understanding of graphical UI technology
Flexibility in working with embedded device hardware
Prefer candidate with interest in machine learning, and machine vision

144

Big Data Technical Lead-intelligent Solutions Resume Examples & Samples

Support application until handed over to Production Operations
Technical documentation, architecture diagram, data flow diagram, server configuration diagram creation
Work with big data developers designing scalable supportable infrastructure
Perform ongoing capacity management forecasts including timing and budget considerations
7+ years of IT experience
4+ years experience in ETL with tools like Informatica, Data Stage or Ab-initio preferred
Exposure to Greenplum an advantage
Exposure to SQL/Shell and procedural languages like PL/SQL, C, C++
Development experience in Sentry, Cloudera Manager, Hive, HBase, Impala preferred
Excellent analytical and problem-solving skills

145

Big Data Development Lead-intelligent Solutions Resume Examples & Samples

Develop/manage tools to migrate data from traditional databases to Big Data environment
4+ years experience in ETL with tools like Informatica, Data Stage, Talend or Ab-initio preferred
Exposure to Data Wrangling tools an advantage

146

Big Data Intern Resume Examples & Samples

Design, develop and improve large scale distributed data processing engine
Work along with big data analytics team
Advanced degree in computer science, statistics, math, or similar fields
Thorough knowledge of algorithms, data structures, and OOD/OOP principles
1+ years of experience with distributed systems such as Spark and Hadoop
2+ years of general-purpose languages such as Scala, Java, and C++

147

Big Data Management & Analytics Resume Examples & Samples

Working with external partners and internal Dell technology, marketing and engineering teams to define and architect solutions related to Digital Delivery, Web Services, telemetry and analytics
Identifying and working with software and hardware partners to assess cloud technologies and roadmaps for inclusion in future solutions
Being the technical expert and resource for the overall cloud solutions, data management and/or analytics
Performs analysis and design for medium-sized to large or complex development and maintenance projects
Possesses and applies advanced knowledge of technology principles, best practices, and procedures to the completion of complex software development assignments
Ensures that all code, configuration data, and system documentation is accurate, complete, understandable, and adheres to company standards
Address security vulnerabilities by using tools to assure security, analyze outputs, and recommend corrective actions

148

Big Data Technical Lead Resume Examples & Samples

Deliver core framework for the new Hybrid (On-Premise and Cloud) Information Management (IM) and Analytics ecosystem, specifically the enterprise data lake (EDL) using Hortonworks Hadoop, Azure, SSAS, SSRS and Power BI
Deliver large scale telemetry ingestion and analytics solutions
Orchestrates interaction with other IM development and architecture teams; assures a clear view of system performance in collaboration with platform, infrastructure and operations teams
Participate and lead design & development estimates and scheduling
Provides functional and technical expertise and consistent application leadership on projects and initiatives involving EDL
Drives and leads solution design services, including requirements analysis, functional and technical design leadership, and documentation / review with business and IT constituents
Provides detailed, day-to-day direction to development teams to design and build quality applications using standard patterns, architectures, and best practices using open source tools
Ensure delivery using agile development environments using continuous integration and deployments
Ensures quality and consistency of development, unit testing and integration testing cycles and deliverables, adhering to Architecture, PMO, and compliance guidelines
Demonstrates strong partnership with other teams for successful execution of standard processes (incident management, release management, changes management, etc…)
Bachelor's in Computer Engineering; Advanced degree or MBA strongly preferred
10+ years of IT delivery management experience, including extensive experience in data warehousing and big data technologies
Expertise and knowledge in delivering telemetry and enterprise data lake solutions
Working with distributed engineering teams and vendors in global delivery frameworks
Must have 12 years designing/developing distributed, scalable, highly-available applications
A solid understanding of working on platforms and applications that directly impact customers and revenue of the business
Experience with Big Data technologies such as Hortonworks Data Platform: Kafka, Flume, Storm, Spark etc
Big Data Engineering – Experience working with large complex big data solution delivery
Leadership - Able to lead effectively in a complex environment, and deliver results; Able to influence without direct authority; Able to balance between competing priorities and be flexible and creative; Able to drive team performance to best in class; Able to create and build highly effective product team and organization; Possesses strong software engineering, collaboration and influence management skills; Simple, transparent project management approach; Has an agile vs. waterfall mindset
ExecutionManagement - Collaborates effectively with various HP Business and IT teams to ensure operational responsiveness to challenges, and alignment with business imperatives. Acts decisively once decision is taken
ChangeManagement - Acts as an advocate for innovation and change across the organization
ProblemSolving - Approaches problems in a rational manner using sound strategies that ensure comprehensive understanding and effective resolution

149

Teradata Developer With Big Data Resume Examples & Samples

Bachelor’s degree in Computer Engineering or equivalent is desired
8+ years of post-college working experience with full life cycle of ETL development in Data Warehouse and Data Integration projects using using Informatica or any other similar ETL tool and Big Data
6+ years Linux/Unix/Perl experience, including scripting and version control with working knowledge of Oracle database
5+ years of Unix development experience is required
2+ years of Hadoop using Map Reduce or Hive or Pig or any other Bid Data eco-system tool
Expertise in Shell scripting, system/process automation is required
Expertise in data research/analysis with a focus on data quality and consistency is required

150

Senior Director, Big Data-telecommute Resume Examples & Samples

Lead the charge to develop a Big Data network of capability to tell quality related data stories and turn insights into actionable outcomes that influence rework reduction and future process strategies
Use creativity and vision to go beyond the current tools and identify solutions to quality and rework problems that will drive new strategies and business results
Focus on enterprise - wide opportunities
Partner with various teams throughout the enterprise to help drive discipline and rigor in quality improvement planning and optimization by working with key analytics partners
Serve as a leader by providing quality improvement strategy, insights, and guidance around measurement, analytics, reporting, and primary and secondary data research
Translate complex topics, concepts and business opportunities into possible solutions that will help the company become a leader in quality performance
Identify, hire and mentor a team of highly skilled professionals possessing the ability to acquire, modify, integrate and analyze big data (capabilities include data science, big data analysis and ETL developers)
Provide direction to the Big Data staff on methods to translate multiple quality datasets, population data and constituent feedback into detailed solutions through use of strategic architectural design, process flow diagrams, future - state operational changes and potential technical solutions
Explain data findings in a succinct and meaningful manner for multiple levels of the organization including Functional Leads, LOB leads, Rework Councils, Executive business leaders and IT leadership
Determine opportunities to package data, insights and analytics for ongoing rework reduction and quality improvement initiatives
Lead the effort to develop and apply advanced analytics including customer and product segmentation and predictive modeling
Serve as a spokesperson and resource in executive cross - functional / cross LOB rework councils for data, advanced analytics and insights
Create and drive standards, procedures and accountability policies as a result of data analytics
Serve as the "voice of the customer" with business owners, representing / reinforcing the customer's perspective throughout end to end provider, claim, clinical and call cycle
Academic background in mathematics, statistics, econometrics, quantitative analytics, or related field; Advanced degree preferred
10+ years of progressive management and leadership experience
10 + years of increasing and relevant experience in analytics functions
3+ years health care insurance experience
Experience with machine learning using distributed systems like Hadoop, Hive, Spark or similar libraries
Experience in creating complex queries from scratch through use of SQL
Demonstrated advanced analytical skills, evidenced by expert knowledge in statistical analysis, segmentation, descriptive and predictive modeling
Proven consulting and project management skills
Strong strategic planning & leadership skills with the ability to present information in a variety of different formats (i.e. oral and written mediums) to Executive leaders
Experience with R or Python
Knowledge of UNET, FACETS and COSMOS data sets a plus
Experience in relational database modeling and concepts
Experience with ETL processes to extract, transform and load data across disparate systems
Experience working in an Agile Software Development environment
Previous experience in developing and implementing business initiatives that require transformation change
Proven leadership skills, evidenced by obtaining results through cross - functional teams in different geographies and cultures
Previous experience leading global teams of technologists, including senior professionals in the data science and big data field
Ability to work in an ambiguous and dynamic environment and comfort collaborating with multidisciplinary teams
Ability to pull together multiple different, and sometimes conflicting, inputs (data, qualitative feedback, hypothesis, etc.) into a common point of view
Ability to travel as required by the needs of the business

151

Oct. Big Data Level Resume Examples & Samples

Bachelor’s degree or higher; majored in Computer Science, or Math, or Engineering, or related fields
Expert in Hadoop ecosystem, including HDFS, MapReduce, YARN, HBase (or MongoDB, Cassandra etc),
Any Hadoop for Windows variants, such as HortonWorks,
Ata warehouse experience (multi-terabyte in Hadoop)
Strong experience on ASP.NET development
Other Hadoop technologies, such as Cassandra, Ambari, Hive, Pig, ZooKeeper
Strong in AngularJS, JQuery, JavaScript, AJAX
Experience in Ionic, PhoneGap, Cordova etc
Solid understanding design patterns
Strong HTML5, CCS3, Adaptive Design (HTML page on Website, phone, pad), Bootstrap
Familiar with Agile development methodology, with scaled scrum experience
In-depth understanding architectural design
Native mobile front-end development experience (either Android or IOS)
SQL Server (2008 and above) - TSQL Programming, Data Modeling, performance tuning etc
Enthusiastic – Must be high-energy
Good communication around issues and opportunities – get things done, make things happen
Communicative and social – Must be able to communicate well with teams
Coaching skill – must be able to effectively coach team members
Conflict resolution - Must be able to facilitate discussion and facilitate alternatives or different approaches
Facilitative – Must be able to lead and demonstrate value-add principles to a team
Attitude of empowerment - Must be able to lead a team to self-organization
Attitude of transparency – Must desire to bring disclosure and transparency to the business about development and grow business trust

152

Oct. Big Data Level Resume Examples & Samples

Deep understanding of analytics business value and work with senior clients to identify their business problems and develop the right approach and Big Data solution
Planning and managing business diagnosis and planning activities
Working with team through problem definition, issue identification and work plan development using problem solving principles and past experience
Performing/interpreting value analysis to identify value creation opportunities for clients
Minimum of 4 years’ experience with Hadoop & Spark big data solution
Minimum of 3 years of project managements experience for Manager level
Ability to tie analytic solutions to business/industry value and outcomes

153

BIG Data Expert Resume Examples & Samples

Bachelor’s degree in Computer Science or Engineering
Technical skills: Big data, Data Modeling
2-4 years of experience
Preferable previous experience in Telecommunication industry
Good English knowledge

154

Accenture Digital is Looking for Big Data Consultants to Stockholm Resume Examples & Samples

Experience and/or interest in designing and building Big Data solutions using Hadoop or NoSQL databases
Experience and/or interest in working with open source eco-system components such as Apache Spark, Apache Flume, Apache Oozie, Apache Hive, Apache Drill, Apache Kylin, Apache Flink, Apache HBase, Apache Cassandra, Apache Kafka
Hands-on coding experience in one or more of: Scala, Java or Python
Experience in managing and modeling data using Hadoop and NoSQL data stores
Experience in designing and building different data access patterns from Hadoop/NoSQL data stores
Experience or interest in emerging technologies such a cognitive computing, AI, etc

155

Big Data Architects Resume Examples & Samples

Responsible for the global management and analytic data strategy
Design and develop the Big Data platform guidance
Architecture the best practice across Data Governance
Responsible for the security and associated technology and component selection
Design the future Operating Model developing Architectures
Maintenance supervising and supporting
Ideation and creation of specific Big Data projects to ensure that a suitable architecture is specified to meet client and user needs
Responsible for architecting and creating complex software and systems and ideating solutions in order to make systems faster, more secure, scalable and reliable
Partnering closely with clients to provide a range of services including: strategy and roadmap development, analysis & ideation, advisory, innovation and business development
Responsible for understanding emerging and evolving usage models and requirements in Big Data and Analytics designing a solutions architecture to meet those requirements
Extensive working experience as a Big Data Architect
Hands on experience with Hadoop ecosystem: MapReduce, Pig, Hbase, Hive, JavaMR etc
Must be able to articulate benefits of NoSql/Big Data
Cassandra/Spark is a must have
Distributed Applications
Able to clearly communicate with the client
Hbase, other NoSQL skills and Java/Scala skills are great plus
Experience building large scale distributed data processing systems/applications or large scale internet systems
Experience working with Agile Methodologies
Knowledge of software best practices, like Test-Driven Developmen (TDD) and Continuous Integration (CI)
Strong analytical, problem identification/solving skills
Exceptional understanding of relational and multi-dimensional data design and reporting
Unix/ Linux experience

156

BIG Data Expert Resume Examples & Samples

The role requires working closely with the client stakeholders (IT, Architecture & Business) in managing and administering the Big Data (Cloudera) environment
Ability to setup the environment and trouble-shoot / performance-tune would be critical to this role as well
Perform administration for the Hadoop setup and associated Big Data technologies
Install, configure and support / manage the Hadoop Clusters using Apache or Cloudera (CDH4, CDH5) hadoop distributions
Exploit and use configuration management systems like Puppet / SaltStack
Install and configure the Hadoop Framework ecosystem services like: HDFS, YARN, Pig, Hive or Impala, Hbase, sqoop, zookeeper, Oozie, flume,Hue
Add / remove new nodes to an existing hadoop cluster
Setup the Cloudera environments / cluster and support the environments leveraging and using Unix
Work with DBAs for setting up the environments
Estimate and size the Big Data solution to meet performance, security, real-time and other business needs
Ensure seamless integration of Cloudera Hadoop Platform into the existing landscape and get involved in architecture and design discussions, as required
Support cross functional teams to drive Hadoop implementation based upon customer’s business requirements
Assist in designing data transformation and aggregation solutions utilizing MapReduce, PIG, Hive and including loading and transforming large sets of Structured, unstructured data
Experience in Hadoop Administration & Big Data Technologies
Experience in Installation, configuration, supporting and managing Hadoop Clusters using Apache or Cloudera (CDH4, CDH5) hadoop distributions
Experience with configuration management systems like Puppet/SaltStack
Installing and configuring Hadoop Framework ecosystem services like: HDFS, YARN, Pig, Hive or Impala, Hbase, sqoop, zookeeper, Oozie, flume,Hue
Adding/removing new nodes to an existing hadoop cluster
Required UNIX Admin skills to setup the cloudera environemnts / cluster and support the environments
Required basic Oracle skills (basic Admin) to work with DBAs for setting up the environments
Experience developing applications in Java/Scala/Python or other scripting language
Basic UNIX Scripting knowledge is essential
Should be able to communicate and co-ordinate with various core teams (Oracle, UNIX, Windows, Network, Security, Business) from the client side
English at advance business and technological level
German language a big advantage
Experience in setting up any BigData analytical tools would be an added advantage (Palantir / Anaconda Python / scikit-learn / SQLite / PySpark)
SSL /TLS / HPPTS / FTPS / Control-M experience would be added advantage
Bachelor degree in Computer Science, Mathematics, and Science related subjects, or Business/Management studies
Certifications and Accreditations on Big Data and Associated technologies (desirable)

157

Big Data Test Leads Resume Examples & Samples

Ability to meet travel requirements
Automated testing process and tooling including Hadoop, data conversion,
Experience with test plan creation and execution

158

Big Data SW Engineer Resume Examples & Samples

Understand the customer needs and expectations
Prepare and maintain own work plans
Periodic report to management
Define SW design and requirements specifications
Develop and Deliver SW products on time with high quality
Formation and approval of the software solution to the mission under my responsibility
Test the implementation based on formal procedures
Solution integration within the whole system
Teamwork and coordination within the global teams
Commitment for own tasks in line with the whole team tasks
Adhere SW Development and Quality Assurance process
Involved in continuous improvement of SW processes
B.Sc in Computer Science or equivalent
Direct experience in

159

Ben & Jerry s Big Data Insight Analyst Resume Examples & Samples

Champions the project pipeline for the Ben & Jerry’s PDC and is responsible for the creative & impactful use of business data to inform key business questions
Delivery of end to end projects which sees the discovery of insights via the statistical analysis of multiple data sources and advanced analytics, including media insights & commissioned research
Works with PDC Manager to determine methods of combining multiple data sets & crafts a compelling story
Detailed understanding of research methods, digital analytics, and marketing technology with agile project management skills
Experience writing boolean queries in one or more social listening tools, including Brandwatch, Synthesio, Crimson Hexagon, Netbase, Pulsar, Radian6, or Sysomos
Expertise and creativity in data visualization techniques
Pilot and search for new technologies / methodologies to enhance the research toolkit and explore alternative ways to answer key questions
Develop advanced deliverables involving multiple data sources or detailed analysis, including MI & commissioned research – key projects could include (but not limited to)
Guides and Trains team members to upskills other PDC/CMI/CEC analysts, including occasional review of their output
Put together robust training curriculum

160

EDW / MDM / Big Data Development Team Lead Resume Examples & Samples

5+ years of technical experience as a software developer
5 years’ experience leading a team of software developers
10 years of technical experience as a software developer

161

Manager, Big Data Platform Resume Examples & Samples

Responsible for system capacity modeling and planning to ensure scalability of environment
Configure and tune an enterprise monitoring and instrumentation system(s) to efficiently detect existing issues and predict future issues based on trends
Ensure have Disaster Recovery plan and documentation to support annual testing
Ensure mission critical applications are properly configured for load balancing and high availability/scalability
Participate in PCI and SOX type audits, vulnerability assessments, penetration testing and aide your team with security remediation tasks
Bachelor's degree in Computer Science, Information Systems, or related discipline, 5 to 10 years of related experience, or equivalent combination of education and experience
A minimum of 5 years of technical leadership and proven success in managing highly technical teams
A minimum of 7 years relevant experience in software development, information systems, DevOPS or equivalent technical environment, including previous experience in the development of highly transactional, mission critical applications in heterogeneous environments/architectures for multi-user systems
Knowledge of best practices and IT operations in an always-up, always-available service Expert in all aspects of the software development lifecycle: design, functional and technical requirements, coding, debugging, testing, release, and operational support
Expert in software development best practices, including coding standards, code reviews, source control management, build processes, testing, and operations
6+ years of Development experience with Java
Experience leveraging Cloudera or other big data solutions to support data mining
Working experience with Hadoop, Enterprise Java development, NoSql data platforms (Cassandra), Pub/sub messaging (Rendezvous, AMPS, Kafka, etc), Stream processing (Spark Streaming, etc)
Experience with ETL (Extract Transformation Load) and Data warehousing systems
Experience with Microsoft SQL Server, writing stored procedures and utilizing SQL Server Integrated Services (SSIS)
Exceptional verbal, written and listening communication skills
Exceptional interpersonal skills and demeanor
Able to serve as evangelist of the technical vision, strategy, and principles
Able to establish relationships with business and IT leaders, as well as the technology subject matter experts
Effective decision maker, even under pressure and while lacking all of the desired information detail
Ability to use a wide variety of open source technologies and cloud services
Ability to develop technical specifications, designs, and architecture artifacts
Ability to take ownership of an assignment through to completion and work effectively with people from different departments, companies, and customer organizations
Ability to solve complex problems with multiple complex abstract variables
Ability to communicate technical information in an appropriate manner for widely varied audiences (from senior management to individual contributors on software development teams)
Ability to influence business strategic direction in partnership with executives, key decision-makers, and highly technical resources
Ability to uphold Choice’s Values & Performance Principles of collaboration, performance excellence, sense of urgency, openness to new ideas, inclusion & diversity, integrity, customer focus, and respect
Experience with automation/configuration management using either Puppet, Chef or an equivalent [Puppet is preferred]

162

Big Data Performance Engineer Resume Examples & Samples

Interest in working with leading edge technology
Exposure/Adaptability to learning Open Source Technologies
Proven understanding of computers and software applications in general
Self-motivation and a desire for on-going learning
Ability to work comfortably independently as well as in teams

163

Tech Lead Big Data Resume Examples & Samples

Build data processing pipeline in that collects, connects, centralizes, and curates data from various internal and external data sources
Architect scalable and reliable data engineering solutions for moving data efficiently across systems at near real-time
Build a distributed data store that will be central source of truth
Design, implement, test and deploy data processing infrastructure
Research and assess the viability of new processing and data storage technologies
Ability to take ownership and get things done in an Agile team setting
Help break down, estimate, and provide just-in-time design for small increments of work
Big data technologies - Spark, Kinesis, Kafka, Storm or Hadoop
Software experience with Java
Source control (preferably Git) and bug tracking systems
Ability to reason about performance tradeoffs
Preferably have experience with SQL and AWS
Tech Lead SW experience preferred
Scala programming a plus
Must be comfortable working in an open, highly collaborative team environment
1+ years of Big Data technologies
10+ years of professional software experience, including having worked with Java and exposure to big data technologies
Bachelors in Computer Science / related field or equivalent work experience

164

Big Data Business Analytics Lead Resume Examples & Samples

Analyzing online customer behavior and online business performance, designing and developing new and innovative analytics methods, while using analytics tools such as Clickstream Analysis, SiteCatalyst, Discover, and Insights to conduct analysis
Providing actionable recommendations on how to optimize the online business
Defining and manages an analytics roadmap and helping present findings to key stakeholders
Executing online analytics and provides bi-weekly progress updates
Proactively introducing new ideas for client initiatives and establishing relationship with key business partners or Point of Contacts to accelerate issues fix
Leveraging team works or cross functional collaboration to improve customer experience
Contributing to improve Process and reduce overall issues and conducting research to identify Web sites and online influencers for improvement
A diploma or bachelor degree in Computer/IT, Marketing, Statistics or Business Degree, or equivalent professional experience
6-8 years of relevant experience in e-Commerce and Online Analytics
Experience with statistical tools like SAS, Statistica, and/or JMP
Strong communication skills, including the ability to convey analytic insights effectively to both IT and business audiences
Strong presentation, leadership, business influence, and project management skills
Capability to identify and troubleshoot potential Business issues
Experience with large, high-volume web sites
Expertise in most of the following e-commerce analytics tools: SiteCatalyst, Discover, Insights
Understanding of Online e-Commerce experience (pre-purchase, purchase path, post purchase) is a plus
Strong teamwork, business acumen, and customer advocacy skills
Team work spirit and enable to be part of a global team, with remote leaders and peers

165

Enterprise & Big Data Engineering Intern Resume Examples & Samples

Study the performance of our latest technology and identify areas of improvement in performance, reliability and energy efficiency
Characterize enterprise class machinery using large-scale workload evaluations assess the impact of the latest technology
Setup and configure H/W and S/W to gather data in the data center lab in Chandler, AZ for several Industry or ISV specific workloads
Develop performance benchmarking recipes to characterize cache, memory, and storage bottlenecks
Work on path finding projects leveraging ISV workloads to influence architecture of Platforms/Technologies
Performance analysis that should lead to content development to influence the ecosystem and to build reference architecture based on specific use models
Technical understanding of how hardware, operating systems, and software work together Familiarity with OS kernel and common libraries such as libc

166

Data Engineer / Big Data-cleared Resume Examples & Samples

Must possess an active TS/SCI clearance with ability to successfully obtain a polygraph
Demonstrated experience developing data architectures and frameworks and data modeling
Demonstrated knowledge and understanding of Big Data technologies such as: Predictive Analytics, NoSQL Databases, Big Data Lakes; Search and Knowledge Discovery Tools and Technologies, Stream Analytics; In-Memory Data Fabric; Distributed File Stores and Data Virtualization
Demonstrated knowledge and understanding of various Big Data tools and solutions such as: Hadoop, Hive, Pig, MapReduce, and NoSQL databases
Knowledge and understanding of Amazon Web Services such as: Amazon EC2, Amazon RDS, Amazon DynamoDB, Amazon ElastiCache, Amazon Glacier, Amazon S3, Amazon Redshift, Amazon SQS is desired

167

Big Data Scientists & Engineers for Accenture Digital Resume Examples & Samples

Participating in vendor landscape and technology assessments (covering for example Hadoop, Spark, Kafka, TensorFlow etc.)
Building and implementing an architecture roadmap for next generation Big Data Analytics solutions for our clients
Participating in full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development till testing, and deployment
Working in collaboration with Accenture’s global network of experts and delivery centres
Master's Degree or PhD
Have experience in delivering an operational Big Data solution using one or more of the following technologies/distributions (Hadoop, Cassandra, Hortonworks, Cloudera, MapR) OR experience with implementing machine learning applications using open source frameworks
Experience with Apache eco-system components such as Spark, Flume, Hive, Drill, Flink, HBase, Cassandra or Kafka
Ability to work in diverse teams
Excellent written and oral/presentation skills in English

168

Big Data Infrastructure Administrator Resume Examples & Samples

Design, installation, configuration, patching and upgrading of the Linux OS
Administration, monitoring, maintenance and software installation on Linux servers
Microsoft Windows Server installation, administration, support and troubleshooting
Installation, administration, upgrading and managing distributions of Hadoop
Responsible for implementation and ongoing administration of Hadoop infrastructure
Manage Apache/IIS-based web services, SSL certificates and web server configurations tasks
Install, Administer, support and maintain SQL database environment
Research and implement, where possible innovative automated approaches for system administration & monitoring tasks
Automation of administration & monitoring tasks using Scripting (Bash, Perl, PowerShell, etc)
Develop and maintain system installation and configuration procedures
Professional experience in server administration in Linux and Windows
Skills in configuration of TCP/IP networks (routing, port forwarding, masquerading)
Experience with Active Directory and user/group administration
Research and Analytical skills. Motivated and a self-starter
Passionate commitment to quality, success, teamwork, and customer service
Knowledge of SharePoint, Windows, Office suites, Java, Adobe, and others will be very beneficial
The ability to prioritize and organize tasks, inventory, and multi-task will be needed

169

Big Data Devloper Resume Examples & Samples

Enabling Convergence , Data Upsell, Churn Reduction, Customer Contact Management
This will have impact on Vodafone Local market business in terms of reducing their current problems and improving the profitability
This is internal team, will interact with local market business teams
This is individual contributor role
This role will work as per guidelines of the Big Data Analytics team
Overall Experience 10+ Years
Relevant Experience 3-5 years
Very good verbal and written communication skills, Good analytical skills

170

Senior Director, Big Data & Data Sciences Resume Examples & Samples

Representing DMI and its Big Data services in Federal Space
Work effectively within a team environment to maximize revenue potential and ensure customer success
Independently run discovery sessions with customers and internal team
Design and implement software engines to construct intelligent knowledge from unstructured data sources (e.g., email, chats, documents, etc.)
Design and implement fast and efficient data processing using 'big data' processing techniques and tools (e.g., NoSQL, in memory, etc.)
Design, architect suitable platform as a thought leader
Effectively advise and influence customers through consultative selling techniques
Articulate analytic solutions in terms of ROI to the customer
Together with the Customer Experience and Delivery team work as a consultant for the customer up to 50% of total time
Research the customer environment to create effective business impact models, build business cases, ROI models
Implement Big Data Solutions using tools like Hadoop, Map Reduce, PIG, HIVE
Analyze large scale data to identify new analytics, insights, trends and relationships with a strong focus on data clustering
Design and implement real time, contextual analytics to optimize strategies
Understand and use Hadoop from data management, structure skillset
Define emergent system behavior based on clustering and natural language analytics
Work with the Product Owner and technical teams to help define user-stories and big data scenarios
Design and monitor construction of user-facing presentation tool
Define best practices and standards for the data modeling process
Minimum of a Bachelor's Degree in related fields (Business / Engineering or Technology)
5 + years' experience in selling analytics and business intelligence services to Fortune 500 companies
Must have 15 + yrs of relevant software (BI, database, ERP, CRM, Big Data with e.g. SAP, Hadoop and Micro Strategy). You must be able to demonstrate your technical expertise
Proven experience managing complex sales cycles to sell database, data warehouse and business intelligence solutions into the Federal market
5 + years’ experience in selling analytics or database services to enterprise accounts
Must have relevant software knowledge (BI, database, ERP, CRM, Big Data) with e.g. SAP, Hadoop and Micro Strategy. You must be able to demonstrate your expertise
Proven experience supporting complex sales cycles to business intelligence solutions into the Federal Space and closing 6 figure deals
You have a desire, even an obsession, to make customers successful through the best Analytics services in the market
Exceptional analytical and technical skills, as well as written and verbal communication skills, interpersonal skills including collaboration, facilitation, negotiation, and persuasion
Ability to prospect, champion and articulate business cases and have proven track record of closing 6 figure deals in large accounts
Ability to present and articulate a complete application and technology solution
Ability to think out-of-the-box and impress customers with your line of thinking and have a proven record to be a leader and team player
You are a passionate evangelist. You believe that DMI wants to “change the game” and win the new world of Analytics and Data Visualization!
You love analytics and understanding data!

171

Big Data / Predictive Analytics Analyst Resume Examples & Samples

Manages projects to timely conclusions
Communicates analytic findings to diverse audiences
Develop and deploy solutions using data analysis, data mining, optimization tools, machine learning techniques and statistics
Expertise in analyzing large, complex, multi-dimensional datasets using a variety of tools like Statistical Analysis System (SAS), R or Statistical Package for the Social Sciences (SPSS)
Advanced SQL skills and familiarity with Python, Java, C/C++, etc
Strong communication skills through data visualizations, written and oral presentations
Ability to work closely with internal and external partners

172

Intern With Focus on Big Data & Data Services Systems Resume Examples & Samples

Analyze and formulate requirements for R&D Big Data applications and frameworks
Engage with Huawei Business Units to understand their specific practices and needs as pertains R&D Data Service infrastructure
Design and provide prototype implementation for applications and frameworks in the context of R&D efficiency improvement; present concepts and ideas, lead production implementation effort, consult developers
Understanding of OOD, SOA and REST API
Familiarity with web programming, including HTML, CSS, XML, JSON
Experiences with DBMS and SQL a plus

173

Development Manager, Big Data Tools Resume Examples & Samples

Drive strategy definition, delivery, maintenance of the tools provided to engineers in the ECP development environment. These tools include Cask Developers Application Platform (CDAP), the configuration management environment, integration with operational tools supported company wide
Manage teams that use both agile and Kanban methodologies
Define and roll out support structure, process, communications
Develop communication strategy for the ECP tools plans, deliveries, support issues
Develop relationships with systems and operational tool owners to provide best of breed collaborative environments and tool integration
Serve as ECP point of contact for data center managed software and systems updates including Cloudera, AWS, Kafka, etc
Ensure that above mentioned upgrades work within the ECP Core schedules
Mandate best practices are followed by the development team (testing, documentation, coding, builds, etc.)
Review code and design solutions, provide technical support and technical feedback to the development team
Collaborate with architects to understand, estimate and define the work needed by the development team
Account for the quality and timeliness of projects
Maintain and grow tools according to business and technology priorities as defined by the roadmaps
Seek out and share technical knowledge with other members across the organization
Work on multiple projects and manage time effectively, proactively assessing risk and dependencies
Effectively communicate timely and accurate status information to project leaders
Implements and models a work culture that promotes innovation and the development and retention of a high quality staff
Take personal responsibility to impact results, deliver on commitments, and reduce costs
Communicate solutions, architectural direction, and technology strategy through formal and informal means to many levels of management as well as partners and customers
BS/BA degree in Computer Science or related field with Masters degree in Computer Science or an MBA highly preferred
5+ years of software development management experience
Experience with Agile methodology
Experience with content management systems desired
Strong issue resolution and influencing skills
Experience with software design methodologies, testing practices and work management
Experience with software development technologies including Tomcat, Spring Framework, REST, Big Data technologies
Experience with multiple support methodologies
Very strong interpersonal and communications skills (including oral, written as well as listening proficiency)

174

Segment Leader Big Data Resume Examples & Samples

Be the subject-matter expert (SME) for the Big Data segment including a knowledge of the top ecosystem partners that make up our Big Data segment in APAC
Own the execution of the strategic plan for each market segment, which includes aligning with partner development managers who manage our top AWS technology and consulting partners focused on Big Data, maximizing influenced revenue driven with and through APN partners
Working with partner development managers, build C-level relationships with our top partners and generate interest in new AWS programs focused on Big Data solutions
Represent the AWS partner strategy for Big Data to our internal and external stakeholders including the AWS sales teams as well as media coverage and industry events focused on the Big Data segment
Help prioritize AWS investment in partners who focus on the Big Data market segment to drive incremental results for both AWS and selected partners
Work with cross functional groups including training and solutions architecture to build enablement programs that allow strategic partners to develop capabilities and achieve proficiency according to AWS competency standards
Work collaboratively inside of AWS to drive new solutions to market with our product management, solution architect, and professional service teams
Work collaboratively with AWS consulting partners to create solutions that combine our top technology partners with packaged implementation services
Prepare and give business reviews to AWS senior leaders within APAC
Identify strategic partners that AWS may want to recruit into the Big Data market segment which could include leading startups, consulting companies, and established technology vendors
More than 10+ years of business development, enterprise account management, or product management experience
Consistently exceeds key performance metrics
Strong communication skills and the ability to articulate complex concepts to cross-functional audiences
Ability to think and work creatively to develop unique joint value propositions and product strategy within a partner ecosystem

175

Business Intelligence Analyst, Big Data CoE Resume Examples & Samples

Work with Network Big Data CoE team members, Network Engineering, Operations as well as other Bell Businesses to understand and analyze business needs and design and develop data solutions by exploring data sources, analytics approaches to be used, e.g. mining, forecasting, visualization, etc. and execute to address the business needs
Explore new sources of information to uncover new business opportunities at all levels of the business (strategic to operational)
Work with and present to all management levels
A Bachelors or Master’s degree in computer science, math, applied science / engineering, or equivalent
Experience with ETL technologies and approaches
Highly analytical skills and ability to work with large and complex technical data sets
Ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
Able to manage multiple projects and priorities

176

Associate Product Owner, Big Data Services Resume Examples & Samples

Define, contribute to, and implement product strategy
Align product lifecycle with product strategy
Define product and technical roadmaps and program goals based on market and customer needs
Apply established business strategy, as appropriate
Perform market analysis and identify business and technical trends
Define and articulate customer needs to architecture and delivery teams
Evaluates and drive new product features
Perform gap analysis between current product features and target product features
Write user stories and acceptance criteria for product features
Participate in scrum activities and ceremonies
Demo product features to key stakeholders
Perform product feature training to new or existing clients
Develop Product Documentation - Release Notes, User Guide and other product documentation
Perform defect Triage and Prioritization
3+ years of Product Management or Business Analysis experience
3+ years of Data Management experience
Familiarity with Big Data capabilities and Analytics
Experience working with stakeholders to define product requirements
Demonstrated ability to communicate ideas (both verbally and in writing) to executives and technologists
Proficient with MS PowerPoint and Excel
Strong communication, business analysis, consultative sales experience, self-motivated, entrepreneurial mindset
Strong ability to manage competing priorities
Working with technical or data management products or services
Healthcare industry background
MS Visio
Experience in Agile Development
Ability to articulate and decompose requirements

177

Manager Big Data Resume Examples & Samples

Minimum Bachelor’s Degree in in Computer Science
Excellent communications skills and fluent English is a must
Experience in SDLC, Data Warehousing and Business Intelligence methodologies
Analytical mind-set that can take complex ideas and break them down into logical solutions
5 years’+ experience in a data management role in Big Data solutions
Wide experience across databases (Oracle, SQL Server, Mainframe, Teradata), ETL (SSIS, Datastage, Informatica, Tibco) and Business Intelligence tools
Experience in a people change management program
Vendor management experience and proven experience in managing outcomes based on SLAs
Demonstrated success in project/management methods and techniquesremov
Knowledge and experience in all phases of the software development lifecycle
Knowledge and experience in iterative development practices
Ability to manage multiple challenging stakeholders globally with conflicting priorities

178

Technology Analyst / Big Data Resume Examples & Samples

Partner with solution delivery lead to build comprehensive implementation project plans with well-defined tasks and owners
Work with client and delivery leads to plan and execute robust system testing and release management activities
Work directly with clients to gather and document analytical requirements and communicate requirements to the global solution delivery team to implement innovative big data solutions to solve business problems across multiple client engagements
Leverage information from requirements-gathering phase and utilize past experience to design a flexible and scalable solution that meets clients’ requirements
Communicate between on-shore/off-shore teams
Understandthe advantages or disadvantages of various big data technologies across a variety of client use cases to participate in architecture and design discussions
A bachelor’s/master’s degree in Computer Science, Management Information Systems or related field from a top university
Up to 3 years of professional experience in IT, IT services or consulting work
Experience with the development of open source big data platforms, such as Hadoop, Hive, HBase, Pig, Spark, Sqoop, Flume, Kafka, etc
Programming experience in SQL, Java, Python, R, and/or Scala
Experience developing an end-to-end big data/cloud based solution across multiple technologies
Experience working in diverse teams across locations in the development of big data solutions
Understanding of the principals and architecture of various technologies within the big data stack is required
Familiarity with agile development and DevOps best practices preferred

179

Big Data Run Lead Resume Examples & Samples

Work with development teams to assist in code promotion across environments and deployments in production
Proactively monitor cluster health and conduct performance tuning activities
Perform capacity planning and expansion activities, working across infrastructure and other enterprise services teams
Perform cluster maintenance with patching/upgrades/migration, user provisioning, automation of routine tasks, and re-processing of failed jobs
Experience in the financial services or retail industry
Demonstrated ability to quickly learn new languages and tools

180

Director of Big Data Engineering Resume Examples & Samples

Manage one or more cross-functional software teams including software engineers, systems analysts and quality engineers
Collaborate with product owners, systems analysts and software engineers to create and execute an agile roadmap
Work with architects and software engineers to evaluate functional and non-functional requirements and drive delivery of creative, high quality solutions
Provide guidance and experience as your teams design and develop big data solutions
Ensure our software is correct, resilient, performing and secure
Communicate with business and integration partners and ensure roadmap alignment inside and outside of our team
Participate in and provide input for system analysis, design walkthroughs and code reviews
Participate in defect review and triage
Define and enforce design and coding standards and constantly improve the way we build and deliver software
Enforce continuous delivery and develops principles with your team
6+ years of designing and coding distributed systems
3+ years leading high performance cross-functional development teams
Experience with big data technologies (Hadoop ecosystem, Kafka, Spark, ElasticSearch, etc.)
Bachelor’s degree in engineering or equivalent experience
Experience building distributed systems in a public, hybrid or cloud environment
Excellent analytical skills and proven ability to work with delivery teams to think out of box
Extremely strong communicator able to build relationships across many teams around the globe
Ability to mentor staff at all career and skill levels

181

Big Data Lead Resume Examples & Samples

Evaluate and recommend Big Data technology stack that would align with company's technology
Drive significant technology initiatives end to end and across multiple layers of architecture
Define and Drive best practices that can be adopted in Big Data stack. Evangelize best practices across teams and BUs
Distributed computing frameworks (Hadoop or Spark)
Statistical or machine learning DSL like R

182

Lead Engineer, Big Data Resume Examples & Samples

Visualize and evangelize next generation infrastructure in Big Data space (Batch, Near RealTime, RealTime technologies)
Provides strong technical leadership in adopting and contributing to open source technologies related to BigData across the company
Provide strong technical expertise (performance, application design, stack upgrades) to lead Platform Engineering
Provide technical leadership and be a role model to data engineers pursuing technical career path in engineering
Java or Python or C++ expertise
Row store distributed DBMSs such as Cassandra
Familiarity with API design

183

Big Data Technical Manager Resume Examples & Samples

Provide technical leadership to Architect, Design and build big data applications that is fault-tolerant & scalable data applications
Manage technical operations and keep the solutions running
Be the SME for Big Data Solutions
Represent the team and work with various groups across Verizon
Lead multiple initiatives in parallel with small teams
Ability to recruit, retain and grow top talent in big data engineering
Strong business acumen of both IT and product leadership experience with a proven track record of delivering solid results in a fast paced environment
Streamlining the development & release process
Responsible to ensure high quality products are released into production
Bachelor¹s degree in Computer Science, Management Information Systems or related field or equivalent experience
Six or more years of experience building and developing strong teams producing outstanding results
Employs effective listening and demonstrates strong collaboration to lead change by example and through influence
Expert level experience architecting, building and maintaining Enterprise grade big data pipelines primarily using Hadoop echo system
Experience with Big Data Technologies ( Solr, HBase, Spark, Kafka, HDFS, ), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop
Familiarity with technologies in Hadoop echo system
Experience with agile and scrum methodologies
Expert level experience building and managing complex products/solutions in production environment that is highly fault-tolerant & scalable
Working knowledge of web technologies and protocols
Exceptional interpersonal skills: verbal, written and listening
Experience developing Restful web services in Spring framework
Working knowledge of web technologies and protocols (NoSQL/JSON/REST/JMS)

184

Big Data Team Lead Resume Examples & Samples

Server as a technical lead for a team of engineers
Provide technical direction for the project
Interface with customer to develop/refine technical requirements
Develop technical solutions using existing customer infrastructure/systems
“Typically requires Bachelors degree or equivalent and 10 -12 years of related experience.”
Excellent interpersonal skills·
Excellent task management skills
Experience with Windows and Linux
Understanding of distributed computing architecture and best practices
DHS Suitability (current)
Microsoft Active Directory
VMware vSphere (ESXi / vCenter)
Satellite and/or Spacewalk
A Linux configuration/automation platform such as Puppet, chef, etc
Host-based firewalls, both iptables and Windows Firewall
Hadoop / YARN/MapReducev2, Spark
ElasticSearch / Kibana / Shield
Apache and/or nginx
PKI and SSO/SAML configuration and integration
Centralized audit consolidation systems - Splunk
The RMF-based C&A process
Working knowledge of LAN/Datacenter networking

185

Data Quality, Big Data Resume Examples & Samples

Understand data structure and relationships
Identify, define and quantify issues and risks
Collaborate with source systems and downstream data consumers to remediate issues and put in place processes to monitor data quality risks
Support and contribute to the Cigna Enterprise Data Management team’s overall goals: high quality data, effective data stewardship, robust and reliable metadata, compliance with data governance policy
Data analysis skills: ability to identify patterns in data, read a data model, read code, do trend analysis, formulate, and test data rules
Root cause analysis skills: quantification, track and trace, Pareto analysis
Minimum 7 years experience working with health care data, from both a technical (IT) and non-technical perspective
5 years’ experience working on data quality management, measurement, and root cause analysis
Experience with big data tools, HADOOP environment
Six Sigma or similar quality improvement experience

186

Big Data UDA Engineer Resume Examples & Samples

Develop automation and data collection frameworks
Experience with a major Hadoop distribution and Hive
Java or other higher language programming language
Perl and/or Python or other scripting languages

187

OCT Big Data Senior Engineer Resume Examples & Samples

Work with issue/problem owners to understand their challenges and develop strategic big data solutions together with domain owner, data scientist and IT team
Manage Projects, provide visibility to management and team members on progress and escalation process to resolve barriers
Provide expert advice for big data issues, data source management, visualizer design, data flow management etc
Collaborate with cross functional team to build e2e big data solutions
Apply domain knowledge to customers/data scientist to design and validate algorithm

188

Big Data Internship Resume Examples & Samples

Communicating & solving complex problems
Working within the big data ecosystem
Data analysis & transformation
Reporting & data visualization
Big Data ecosystem – Parallel computing concepts, Hadoop, Strong LINUX experience, Map-Reduce, Hive, PIG, Python, JAVA, SCALA
Data Warehousing - Relational Databases such as Teradata/Oracle/MS SQL Server/MySQL
Reporting and Data Visualization tools such as Business Objects/Cognos/Microstrategy/Tableau
Data Analysis - Data Modeling, Strong SQL knowledge
Data Transformation – ETL Tools such as Informatica, SSIS, DataStage and scripting (Linux/UNIX/Shell/SQL)
Analytics – Strong Math/Statistics background and experience with tools like SAS, R, SPSS or similar
Enthusiasm for solving complex problems
Ability to communicate complex ideas in simple terms
Take initiative and responsibility to drive results

189

ED / SVP, Big Data Engineering Resume Examples & Samples

Drive the greenfield development of the Enterprise Data Lake, and development of all other use-cases on top of the lake, for the purposes of analytics and reporting purposes (including regulatory reporting), while maintaining the business-as-usual for the legacy stack of systems
Design and implement strategies, architectures, ingestion, storage, consumption and delivery processes for complex, large-volume, multi-variate, batch and real time data sets used for modeling, and data mining purposes
Design and implement data ingestion techniques for real time and batch processes for different data types (structured and unstructured data) into Hadoop ecosystems and HDFS clusters
Manage the development and data modelling teams (100 - 150 + people based in Singapore and Hyderabad) in the identification of business requirements, functional design, process design, prototyping, development, testing, training, and operationalization of support
Managing the relationship with key business stakeholders and prioritizing their demands
Drive technology selection as it relates to the big data ecosystems
Performs code reviews as required
Experience designing and implementing reporting and visualization for unstructured and structured data sets
Knowledge of data, master data and metadata related standards, processes and technology
Experience with Data Integration on traditional and Hadoop environments
Ability to multi-task and prioritise effectively in a fast paced enviornment

190

IT Expert Big Data Search Resume Examples & Samples

Takes on coordination and also hands on development activities on projects as well as operations
Designs & conducts the data modeling and development in Roche global standard tools & development environments: Hadoop, SolR, HBase, JBoss, RDF/OWL provider
Supports the test design and functional testing and ensures appropriate documentation
Is the key contact to the IT delivery centers in Europe to secure architectural alignment. Drives pro-actively for global re-use of applications & services in the Search space
Maintains appropriate documentation of tasks, projects & strategies
Advises and guides Search solution creation. Is ready to supervise & train more junior IT professionals
Acts as a consultant to business and Project/Informatics management. Provides Subject Matter Expertise input into detailed solution design & build
Translates customer needs to text processing techniques and technical requirements

191

Senior Manager, Big Data Architecture Resume Examples & Samples

Develop a 2-year DM&T Big Data Architecture strategy and implementation roadmap
Develop a business case for the DM&T Big Data strategy in collaboration with IT, Network and Business
Collaborate with various vendor partners to identify appropriate technology requirements
Define overall cost of implementation, including hardware, software and labour
Partner with the Business, IT and Network stakeholders to develop and refine Big Data use cases with clearly defined business drivers/benefits
Collaborate with various IT, Business and Network groups to identify and develop interface points with relevant data sources
Lead cross-functional team to fully implement solutions by leveraging iterative, quick-to-market methodologies
Provide management oversight to 3rd party System Integrators in their fulfillment of contractual obligations including financials, staffing commitment, T&E, SLA agreements, etc
Provide guidance and training to team members on the architecture, deployment, optimization and tuning of advanced Hadoop development tools and frameworks based on industry best practices and design patterns
Influence the development and enforce application of Hadoop Big Data architecrure design patterns based on industry best practices
Manage direct reports and provide ongoing coaching on both technology and collaboration topics
Maintain detailed documentation as required by SDLC
Evolve Big Data platform, analytical and data management tools
Partner with key vendors to bring appropriate products to bear in the fulfillment of Big Data use cases
Ensure SW currency and adherence to a defined migration plan
Provide guidance and training to team members on the deployment, optimization and tuning of advanced Hadoop development tools and frameworks based on industry best practices and design patterns
A degree in Computer Science, Data Science, Software Engineering, Information Technology or a related field
1+ years of Production experience managing Big Data environments, development or architecture teams
1+ years of production experience managing Hadoop application architecture, development, installations, performance tuning, configuration, and optimization
1+ years of production experience designing and deploying Hadoop core components and services: HDFS, YARN, Hive, Pig, HBase, Spark, Sqoop, Falcon, Oozie, etc
Production experience and excellent understanding of Software Development Lifecycle principles and best practices
Production experience and in-depth understanding of Hadoop Big Data ecosystem and best practices (Hortonworks is preferred)
Experience in Telecommunication industry would be an asset
Excellent written and verbal communication skills

192

Accenture Digital is Looking for Big Data Architects to Oslo Resume Examples & Samples

Experience with open source eco-system components such as Apache Spark, Apache Flume, Apache Oozie, Apache Hive, Apache Drill, Apache Kylin, Apache Flink, Apache HBase, Apache Cassandra, Apache Kafka
Strong interest in growing your own technology skills
Experience in large scale cloud data solutions using platforms such as AWS, Azure or Google Cloud Platform
Experience in re-architecting and rationalizing traditional data environments with Hadoop or NoSQL technologies
Knowledge of enterprise security frameworks and tools
Experience with resource management frameworks such as Docker and/or Mesos

193

Accenture Digital is Looking for Big Data Architects to Stockholm Resume Examples & Samples

Experience in designing, building and operationalizing production-grade Big Data solutions using modern data technologies such as Hadoop or NoSQL databases
Experience in architecting large scale Hadoop/NoSQL operational environments for production deployments
Understanding of traditional ETL tools, RDBMS, SQL
Understanding of metadata management with Hadoop and NoSQL data in a hybrid environment

194

Big Data Resume Examples & Samples

Profound knowledge of RDBMS and Data warehouse technologies
Strong understanding of Big Data integration techniques – e.g. how to deal with volume/velocity/variety in a performant way
Exposure to Microsoft Azure stack (especially ADF, Azure SQL, Azure DWH, Azure Event Hubs)
Continuous integration tools such as Jenkins, TeamCity, Octopus
Testing frameworks

195

Big Data Framework Developer Resume Examples & Samples

Experience with building frameworks
Excellent debugging, critical thinking, and communication skills with deep knowledge of JVM
Proficiency in MapReduce/Spark development and experience with Hadoop or other data processing technologies
Knowledge of Hadoop-related technologies such as Oozie, Hive and Pig
Strong object-oriented design skills, coupled with a deep knowledge of data structures and algorithms
Able to gather cross-functional requirements and translate them into practical engineering tasks
8+ years of programming experience, preferably in Java or Scala

196

Big Data Technical Lead Resume Examples & Samples

Play a starring role in the development and leading of the Hadoop based systems and Team, ensuring that projects are delivered on time and on budget. Come up with inspiring and innovative solutions to meet the objectives and deliver value to the business
Engage with multiple different areas of the business and be seen as the SME of Big Data development
Take responsibility for project deliverables using Agile delivery mechanisms such as Kanban and scrum, and participate in daily progress meetings reporting back to the Technical Delivery Manager
Manage day to day workload and delivery of a team of Developers and Quality Analysts, ensuring they have clear set daily objectives
Provide realistic cost and resource estimates
Works to identify opportunities to improve development standards, processes and tools
Design and deliver the technical solution for both small and strategic project change within the Analytics estate

197

Big Data Technical Lead Mumbai Resume Examples & Samples

Leads the deployment of models into the local technology landscape to enable commercial success
Accountable to ensure that local deployment of solutions and use cases is aligned with Group architecture and guidelines
Solid experience and expertise across data integration and data management

198

Big Data Rotation Apprentice Resume Examples & Samples

Enable a data driven organization mine through its vast collection of data assets
Support the technical infrastructure on multiple MPP database platforms, including connectivity/cross querying abilities in Hadoop clusters
Develop code, data tables, and reports to support client-facing custom analytics
Create efficiencies through automation or enhancement of existing processes
Aid in the design and creation of data and reporting systems for media modeling and optimization efforts
Actively participate in the development of complex data initiatives, including gathering of requirements, technical specifications and prototyping
Team player with strong entrepreneurial attitude
Thrives in a dynamic fast-paced environment
Analytical, tactical and detail orientated
Basic understanding of SQL preferred
Experience in Python, Perl or other scripting languages or developing inside of a business intelligence tool suite a plus
MapReduce and/or any other Hadoop base experience also a plus

199

Head Big Data Initiatives Resume Examples & Samples

Experience leading a team of highly skilled engineers
Deep understanding of business critical data-driven products and data management solutions
Experience delivering business solution written in Java and ready for the Cloud
Data mining, machine learning, statistical modeling tools or underlying algorithms
Ability to handle multiple responsibilities in an unstructured environment where you are empowered to make a difference. In that context, you will be expected to research and develop cutting edge technologies to accomplish your goals
Proven track record of end-to-end implementation of top notch data engineering solutions leveraging both Big Data (Hadoop Ecosystem) and traditional data warehousing technologies
Thrives working in a fast-paced environment and learning new technologies
Proven ability to develop and ship high-quality software products
Strong communication skills and the ability to work closely cross-functionally
UNIX/Linux skills, including basic commands, shell script ing, and system administration/configuration

200

Big Data Lead Analyst Resume Examples & Samples

1-2 years of experience
Experience in Agile methodology
Ability to identify stakeholder and business needs

201

Director of Big Data Engineering Resume Examples & Samples

Manage one or more cross - functional software teams including software engineers, systems analysts and quality engineers
Work with architects and software engineers to evaluate functional and non - functional requirements and drive delivery of creative, high quality solutions
3+ years leading high performance cross - functional development teams

202

Senior Big Data Local Analyst Resume Examples & Samples

Meet the informational demands from the Global Data Architect & BD Governance Head in a timely manner, focusing on deadlines and quality in delivery
Access local and global data warehouses and data marts to extract the data needed to meet those demands: working with defined processes, procedures and tools
Investigate and identify new sources of data relevant to Global BI both within and outside of the BI domain
Create strong links with the leadership and team within the local BI unit to seek alignment with what they are already doing, reusing where possible all indicators, reports and dashboards that are already available, coordinating tasks necessary to meet the demands that are common and avoiding duplication wherever possible
Ensures compliance with the required criteria of security, privacy and quality in accordance with internal and external policies and regulations and data governance rules
Deep knowledge of fixed and mobile telecommunications business: in its many aspects (commercial, technical, regulatory, financial, etc.)
Extensive knowledge of relational databases and logical data models, with specific focus on Data Warehouses
SQL language proficiency
Extensive knowledge of tools to support decision-making: Business Objects, MicroStrategy, Tableau, QlikView, etc
Multi lingual: English and Portuguese, Spanish is a plus
Experience in the telecommunications sector (minimum 3 years)
Extensive experience (minimum 3 years) delivering data or BI Reporting Services to Marketing operational teams or working in Marketing teams with direct interaction with BI teams
Experience in functional design/modelling of data interfaces
Demonstrable ability to build wide ranging relationships and show pro-active ownership of deliverables

203

Big Data Geospatial Engineer Resume Examples & Samples

Understand and incorporate current and new environmental data sets
Proactively integrate environmental data into field management systems
Stay abreast of public domain data sets that are relevant to Monsanto’s biotechnology pipeline
Partner within Monsanto data manager communities to bring needed data sets into GIS and Big Data analytical environments
Lead the advancement in Monsanto’s understanding of environmental influences on field performance and risk factors
Demonstrated knowledge of agriculture and/or agriculture oriented businesses
Experience implementing complex big data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms
Capable to decide on the needed hardware and software design needs and act according to the decisions. The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions
Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures should be present
Experience creating cloud computing solutions and web applications leveraging public and private API’s

204

Big Data Intern Resume Examples & Samples

Bachelor’s degree or Master’s Degree candidate/Diploma in IT, Computer Science, Information Systems, Math, Engineering or related discipline (in progress or recently completed)
Understanding of the Hadoop ecosystem (Hive, HBase, Sqoop, Ambari, Hue)
Relational database knowledge and experience, e.g: MS Sql Server, Oracle, Mysql, etc
Experience with programming languages such as Python, Java, C#, etc
Knowledge and experience utilizing automated deployment and configuration tools is a plus
Experience using tools such as Apache Spark and/or Python is desired but not required
Excellent time management skills - deliver on time, within estimated workload, according to scope, and with flexibility when required
Strong interpersonal skills (assertiveness, not afraid to challenge constructively, fast learner, client oriented, respectful of commitments, etc.)
Ability to act autonomously, bring structure and organization to work
Sound problem-solving skills and creative and action-oriented mindset

205

Big Data Senior Engineer Resume Examples & Samples

Develops, unit tests, and code reviews development tasks
Ensures that all defined development policies, procedures and standards are followed; and that development activities are delivered within agreed timescales, of high quality and are fit for purpose
Participates in user story workshops to gather requirements with team
Assists with synthesizing development tasks from functional requirements
Designs and optimizes data structures to support Big Data workloads
Investigates various source database structures and designs ETL processes
Develop ETL processes to load data into Big Data environments
Train machine learning models
Implement machine learning algorithms for predictive analysis and classification
Work with the other developers to debug or eliminate errors from the system
Design loosely-coupled, reusable, and testable code structures
Able to understand use cases, process flows, and other functional and technical specifications to implement software solutions
Testing of own, ensure all specified functionality has been delivered and all performance constraints have been met
Evaluates and integrates emerging technologies
Continuously study to keep skills up to date
3-5+ work years experience with Big Data environments

206

Big Data Technical Lead Resume Examples & Samples

Demonstrated expertise designing and coding high performance big data applications and services
Proficiency in Hadoop, Kafka, Spark, Hbase and No SQL databases in a large scale environment
Experience administering Big data eco system on HDP or CDH
Experience implementing failover architecture
Effectively performs - ETL on large data volumes, requirements analysis, data profiling
Demonstrated expertise with software architecture & design, data structures and algorithms
Experience in programming scripting languages such as Scala, Java, Python
Strong aptitude for learning new technologies related to Data Management and Data Science
Familiarity with BI software platforms like MicroStrategy or Tableau is a big plus
Demonstrated ability to work well independently and within a fast-paced, team-oriented environment
Knowledge in engineering machine learning, feature engineering systems is a plus
Excellent debugging, critical thinking and communication skills

207

Big Data Product Engineer Resume Examples & Samples

Research and apply cutting-edge methods and technologies in the field of big data and space-time analysis (e.g., Hadoop, data science, Spark, Elasticsearch, machine learning)
Define user requirements and apply best practices
Create and execute high-quality test plans
Document newly developed functionality and processes
Create and ship quality software by working in an agile, highly interactive, creative team environment
One or more years of Python, JavaScript, R, or other high level language
Experience with ArcGIS Enterprise (Server)

208

Big Data & DMP Engineer Resume Examples & Samples

Develop new source system integrations from a variety of formats including files, database extracts and APIs and support existing integrations
Develop and support highly scalable Data Pipelines that incorporate transformations and efficient code. Data will need to flow to and from unstructured and relational systems for analytic processing
Develop solutions for delivering data that meets SLAs and is of high quality to various WB divisions for marketing and reporting as well as external vendors
Minimum of 2 years of experience working with Hadoop solutions
Minimum of 2 years of relevant ETL/ELT experience
Minimum of 1 years working with Apache Spark
Minimum of 1 years working with Scala
Experience in SQL and Python and developing data extraction applications
Experience with data movement and transformation technologies
Experience troubleshooting data-related issues
Experience operating a production ETL/ELT solution
Experience working with Apache Spark, Hive
Expert problem solver with experience troubleshooting data-related issues
Experience making large volumes of data actionable
Experience using Git or SVN and Jira
Experience integrating external APIs
Experience with Java or Scala a plus
Experience with Ad platforms or CRM solutions a plus
Ability to work independently or collaboratively
Strong analytical skills and experience with analytical platforms a plus
Detail oriented with strong organization and prioritization skills
Entertainment and/or Social Media experience a plus
Demonstrated ability to work well under time constraints
Must be service-oriented
Must be able to work flexible hours, including possible overtime, when necessary
Must be able to maintain confidentiality
Management has the right to add or change duties and job requirements at any time

209

Big Data Infrastructure Engineer Resume Examples & Samples

B.S./B.A. Computer Science or related field; or equivalent level of experience
2+ years in an IT or technology support role
3+ years progressive technology experience
Previous software engineering and development experience preferred
Ability to prioritize work and establish consistent responsiveness to customer inquiries (with a strong focus on service delivery)
Strong passion for technology and a willingness to learn new skills
Ability to work effectively with cross-functional and cross-cultural teams
Ability to investigate complex issues spanning multiple technologies
Strong technical aptitude and ability to comprehend technical documentation
Strong analytical skills and the patience to work through problem resolution follow up
Self-motivated and self-directed, ability to translate technical direction and apply to specific work responsibilities
Previous UNIX/Linux administration experience preferred

210

Big Data Consultants Resume Examples & Samples

Relevant technology architecture consulting or industry experience to include Information delivery, Analytics and Business Intelligence based on data from hybrid of Hadoop Distributed File System (HDFS), non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses
Hands on experience with data lake implementations, core modernization and data ingestion
Experience with Big data technologies; MapReduce, Pig, Hive, HBase, Sqoop, Spark, Flume, YARN, Kafka, Storm etc
Experience designing and implementing data ingestion techniques for real time and batch processes for video, voice, weblog, sensor, machine and social media data into Hadoop ecosystems and HDFS clusters
Experience with data integration products like Informatica Power Center Big Data Edition (BDE), IBM BigInsights, Talend etc
Ability to travel 80-100% of the time (Monday – Thursday/Friday)

211

Big Data Internship Resume Examples & Samples

Big Data ecosystem
Data Transformation – ETL Tools such as Informatica, DataStage and scripting
Analytics – Strong Math/Statistics background and experience

212

Big Data Visualization Expert Resume Examples & Samples

Design and develop user friendly, interactive visualizations that enable regular business users leverage and activate the most intricate analytical insights without going into underlying big data and machine learning complexities
Expert in Tableau development over big data platforms, leveraging the best software engineering techniques to enable the most efficient data curation and user interface interactivity
Comfortable working in a fast paced agile environment, closely interacting with business and some of industry’s best software engineers and machine learning scientists
BS in Computer Science or related field
Open source contributions or robust portfolio of shipped code at GitHub
Overall 3+ years experience designing and developing frontends/user interfaces for big data and machine learning applications
2+ year of development experience with Tableau
2+ years development experience in Hadoop ecosystem, preferably with implementation of data processing and machine learning algorithms
2+ years programming experience using one or more of Java, Python, C++
2+ years experience using SQL and traditional data warehouses. Experience with Oracle and IBM Netezza preferred
2+ years experience developing over Unix/Linux environment
Working knowledge of agile development techniques
Willingness to learn new technologies and comprehend unfamiliar data domains and new business processes quickly
MS/Ph.D. in Computer Science or related field
Tableau certification
Working knowledge of Unix/Linux system administration and shell scripting

213

Manager, Big Data & Platform Engineering Resume Examples & Samples

Contribute to Advanced analytics strategy, ranging from engineering Open source based Big Data analytics tools and developing solutions to meet enterprise needs
Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in technology communities and act as an internal mentor to users of these platforms
Utilize programming languages like Java, Spark and Python with an emphasis in tuning, optimization and best practices for application developers
Develop and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Storm, NIFI and Kafka
Experience building data ingestion and ETL patterns using Spark and other Open source frameworks
Proficient with Cloud technologies and concepts
Build a culture of learning and innovation with the ability to learn new data technology practices
7+ years’ experience in real-time services and big data development in Java or Python
3+ years’ experience managing engineers and architects
Strong experience in technologies such as Hadoop, Hive, Impala, HDFS, Flume, Kafka, Spark etc
Ability to work in a fast paced, evolving, growing and dynamic environment
Ability to lead influence others and find creative solutions and move quickly to deliver them
Ability to collaborate with team members throughout the process and consult with other project teams on the design and use of enterprise data
Strong analytical skills with a data driven approach and ability to measure impact of project
Strong experience and ability to demonstrate advanced proficiency, in building web services and processing real-time data
Exceptional communication skills and desire to educate others about our data and how to access it

214

Big Data Internships Resume Examples & Samples

Researcher
Solution Architect
Commercial Intelligence Manager
Demand Management
Competitive Intelligence

215

Big Data Intern Resume Examples & Samples

Defines and documents the use of BigData through user experience/use cases, prototypes and detailed functional requirements for various levels of the user community with specific focus on the business segment’s BI Lead
Responsible for development of ETL processes to interface data into User analytics environment
Creates and executes test cases to validate the integrity of both the data and functional requirements
Coordinates and facilitate user-acceptance testing
Assists business users with requests for ad-hoc reporting and data analysis
Provides assistance by responding to inquiries from clients regarding issues and/or questions about Data
Pursuing Master’s degree in Computer Science, or in a field of data science
Familiar with the techniques and limitations of observational studies
Familiar with theory and practice of information retrieval, relevance, machine learning, and data mining

216

Technical Lead-big Data Resume Examples & Samples

Candidates must have a bachelor’s degree in Computer Science or related field. Masters degree preferred
8+ years of experience
Proven experience in a Big Data environment
Demonstrable experience in OO design and development role on a medium to large, enterprise-scale software program
Hands-on leadership of Big Data project design and implementation
Candidates must be able to demonstrate experience in the following

217

Big Data Senior Engineer Resume Examples & Samples

Total 8+ years and at least 3+ years of software hands on experience in Big data
NOSQL technologies
Demonstrable advanced experience with Java, C as well as strong experience with
Ability to work in a fast paced Agile development and rapid deployment in the

218

Associate Director, Big Data Solutions Resume Examples & Samples

Education: MSc Degree or equivalent with relevant experience in Computer Science, Computer Science Engineering or equivalent experience
Hands on experience building large server side applications in Java and using various database/big data technologies
Work experience with various cloud services, hands on experience building similar cloud solutions
Strong software engineering practices
Ability to work independently, asynchronously (across time zones) and with excellent communication skills that cross language/culture/geographic boundaries

219

Big Data Archiect Resume Examples & Samples

Support the pre-sales cycle with various team members to provide 'right' guidance on solutions, products, vendor capabilities, design, and solutions
Design, spec, and implement Big Data analytic solutions on a Hadoop–based or NoSQL platforms
Design, create, and develop analytic and machine learning algorithms to provide understanding of patterns, behavior, insights, and relationships within the data leading to greater depth of knowledge for our customers
Refine a data processing pipeline focused on unstructured and semi–structured data refinement
Support quick turn and rapid implementations and larger scale and longer duration analytic capability implementations
Provide recommendations on big data solutions, capabilities, vendors, and approaches to solve problems at different technical tiers of the solution lifecycle
Big Data experience with architecting applications using NoSQL platforms and relational databases
Development of platforms and - or architectures that support many concurrent users, maximum response time, minimal contention, aligned with industry compliance requirements
Experience in building multi-tenant architecture
Experience with optimizing query against data stored in a big data platform or NoSQL repository
Experience with mitigating contention in big data platforms
At least 1 of the following: HBASE, Accumulo, Reddis, Cassandra, Mongo / Experience architecting multi-tenant architecture
Java, Hadoop, HWX Certification preferred
Experience with SAS, R, or Python to build ML models, predictive analytics, or capabilities in support of data mining

220

Big Data / Infrastructure Developer Resume Examples & Samples

Design and implement solutions to manage Big data platform, including data sourcing, extraction, transform, staging, and conforming
Identify and select technology solutions from multiple competing options, perform evaluations and proof-of-concepts, and finally make recommendations to management
Build reusable code and libraries for future use
Collaborate and build relationships with other development team members
Hands-on Hadoop ecosystem - HDFS, Hive, HBase, Yarn, Spark, etc. (7+ years)
Core Java (5+ years)
Web services and RESTful API with Java, API framework concepts and standards. I.e. RAML, Swagger, etc (5+ years)
Programming with big data/NoSQL platform such as MongoDB, Cassandra, InfluxDB, etc. (5+ years)
RDBMS experience a plus (Oracle, MySQL, etc.)
Big data analytics experience a plus (R, Python, Scala)
Familiar with data lake concept and modeling
Familiar with modern infrastructure technology and architecture (cloud, virtualization, object stores, etc.)
Familiar with SDLC tools and agile development methodology

221

Big Data Solutions Engineer Resume Examples & Samples

3+ years of progressive experience in Data Modeling, Data Architecture, or other work related to the construction of enterprise data assets
1+ years of experience in designing and developing cloud based solutions (preferably through AWS)
Demonstrated knowledge and hands-on experience with Big Data platforms and software like Hadoop, Apache Spark, Cassandra, HBase, HDFS, Map-Reduce, Hive, PIG, MongoDB, Sqoop, Storm
Demonstrated knowledge and hands-on experience with AWS solutions including S3, Kinesis, Lambda, EMR, DynamoDB, Redshift, Spark, RDS and frameworks such as Hortonworks and/or Cloudera
Hands-on experience working with large complex data sets, real-time/near real-time analytics, and distributed big data platforms
Strong programming skills. Experience with and the ability to troubleshoot and tune relevant programming languages like Python, SQL, Java/Scala/Ruby, R, PIG Latin, HiveQL & MapReduce
Understanding of major RDBMS systems like Oracle, SQL Server, DB2, & Sybase
Experience with techniques for Parallel & Distributed computing for Big Data, such as MapReduce Framework, Hadoop, YARN
A strong understanding of data profiling and data cleansing techniques
Experience in multidimensional data modeling, such as star schemas, snowflakes, normalized and de-normalized models, handling slowly changing dimensions/attributes
Strong analytical and problem-solving skills with proven communication and consensus building abilities

222

Big Data Resume Examples & Samples

5+ years developing web based applications
Experience with AngularJS, jQuery, JavaScript
Experience with ui-router, ui-bootstrap and other major AngularJS libraries
Experience with AngularJS module design pattern, factories and services, custom directives
Experience with web automation tools Bower, NPM, Gulp
Experience with RESTful web services, AJAX, JSON, AngularJS $resource
Advanced knowledge of HTML5, Bootstrap, CSS3
Experience with Sass CSS preprocessor
IDEs such as Microsoft Visual Studio, Sublime Text, Atom
NodeJS
Experience with Git, SVN code repositories
Knowledge of cross-browser limitations
Solid attention to detail and an appreciation for great UI design
Self-starter and able to efficiently manage and estimate time
Disciplined programmer, clean hand-written code, iteratively build and test
Excellent communication skills, able to participate and interact with teams
Must be able to demonstrate qualifications through working code examples, discuss library features in detail within AngularJS, Bootstrap, etc

223

Big Data, Senior Site Reliability Engineer Resume Examples & Samples

UG - B.Tech/B.E. OR PG – M.S. / M.Tech REC or above
Exceptional full stack and environment troubleshooting skills
Expert level knowledge of at least one configuration management system (Chef, Ansible, Puppet, etc.)
Understanding of standard networking protocols and components such as: HTTP, DNS, TCP/IP, ICMP, the OSI Model, Subnetting and Load Balancing
Security mindset. Data cannot and will not be compromised
Past history working on an agile scrum team with other SREs and/or SWEs
Expert hosting in the Cloud. AWS preferred, but Google Cloud and Azure are also of interest
Experience with a microservice architecture running in containers (Docker or other containerization technology)
Understand CI/CD and ability to architect the workflow
Bachelor’s degree or higher in Computer Science, or equivalent experience
AWS Certification preferred but not essential: SysOps and/or Solutions Architect ideal
Comfortable writing software to automate API-driven tasks at scale; The SRE team uses Python and some Go, where the developers use Scala, Python, and Java
Experience with Amazon RDS, S3, ECS, Amazon Aurora, CloudWatch, etc
Experience with Monitoring tools including AppDynamics, KeyNote, Sumologic, Grafana/Kibana etc. for troubleshooting
Experience with Docker tooling and ecosystem

224

IT Big Data Internship Resume Examples & Samples

Student must be currently enrolled in a program of study at an accredited college or university seeking either an Associates degree, Bachelors degree, or Graduate degree, or a related field
Possess strong analytical, problem solving, written and oral communication skills
Preferred Technology: Java, Hadoop, Hive, Spark, Flume, Kafka, SQL, .NET/C#; Mainframe, Service Oriented Architecture, Oracle, SQL Server; Operating Systems, Weblogic, IBM WebSphere-- adjusted based on role requirements

225

Big Data Development Lead-intelligent Solutions Resume Examples & Samples

Design and architect production ready systems using server side java technology stack and UI
Experience in relational databases, advanced SQL and data modelling
Experience in implementing distributed and scalable algorithms (Hadoop, Spark)
Understand and implement quantitative models in production ready systems
Solid understanding in at least one of the following business areas: securities & derivatives pricing, market making, real time pricing, risk and PnL, life cycle of a trade, regulatory reforms and risk
Strong domain expertise for institutional securities business
Development in Windows and Linux environment,
Data-modeling and implementation
Experience in working with market / streaming data and time-series analytics
Development of web-based and digital framework for content delivery
Expertise with Hadoop and the HDFS and Ecosystem
Experience with distributed infrastructures
Strong Experience with Core Java, Scala, Python, and R
Strong Experience with data management and partitioning
Strong development skills on Map Reduce and Spark applications
Experience in troubleshooting, debugging and optimizing Map Reduce
Experience in configuring Spark jobs
Strong expertise on Relational Data Base Systems(SQL) and Hierarchical data management
Exposure integrating a relational database and a NoSQL store and SQL application development experience
Experience to ETL tools such as sqoop, pig, data torrent/Apex and Pentaho is a plus
Experience with Navigator is a plus
Experience with REST API is a plus
Experience with streaming processing using Spark Streaming / Storm is a plus
Experience with oozie is a plus

226

Lead Engineer, Big Data Architecture Resume Examples & Samples

Provide hands-on subject matter expertise to build and implement big data solutions
Research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable cloud services
Design and implement complex highly scalable machine learning models
Interface with Engineers and Product Managers to understand feature requirements
Participate in the scrum team under our agile development process utilizing principles such as test-driven-development
Work with DevOps team to implement failover and highly available solution in production environments
Work with product managers and customers to support and design various data ingestion solutions using batch processing, event notification, and server less design patterns
5+ years of hands-on large-scale software development
3+ years of hands-on experience with the following technologies: Cassandra, Spark, Flume, Solr, Kafka, Machine Learning
Critical thinking: ability to track down complex data and engineering issues, and analyze data to solve problems
Solid knowledge of SQL/NOSQL and understanding of database schema design
Preferred experience in implementing security and threat intelligence
Preferred background in security technologies such as OAuth/SAML tokens, SSL, authentication, encryption, entitlements, audit, authorization policies etc
Knowledge of cloud solutions (Amazon Cloud, Oracle Cloud, Google Cloud) with hands-on experience in direct API integration
Agile driven. Experience with Agile development methodology with short release cycles
Excellent problem solving and communication skills with both technical and non-technical audiences
Masters, PhD, or equivalent experience in a quantitative field (computer science, mathematics, statistics, etc.)

227

Big Data Advanced Analytics Technology Lead Bucharest Resume Examples & Samples

Integration of end-to-end solutions into complex IT landscapes
Experience with different database structures, including Hadoop and SQL
Hands on expertise with Big Data technologies, machine learning algorithms and distributed programming (preferred)

228

Big Data Resume Examples & Samples

Designing of robust and scalable solutions to support Enterprise application
Lead Development of data warehouse using BigData technologies
Support Development and Deployment activities under Agile / Dev Ops models
Provide second level support to fixes and solutions for issues in production
Bachelor’s degree in computer science, information systems or related field along with a minimum of 10 years of overall IT experience
Experience in Designing scalable solutions
Strong track record of application development using BigData and Java
Knowledge of HBase, Spark is desired
Candidate should have good understanding of database and data structures
Engineering architecture, platform configuration, and documentation experience
Knowledge of modern development lifecycles, such as Agile and iterative development
Collaborate with BA, QA and PM team members for effective testing and delivery

229

Big Data Services Manager Resume Examples & Samples

Manage and grow the hardware and software infrastructure that runs our high-volume, high-availability big data analytics solution hosted in our own private cloud
Hands on lead development role focused on creating big data and analytics solutions
Ensure appropriate capacity and system monitoring are in place
Manage and mentor team members in areas of distributed computing and big data solutions
Responsible for quality assuring the deliverables against the agreed quality assurance standards
Code review of mission critical components
Document and lead design reviews, provide input to the design recommendations
Participate in project planning sessions with project managers, business analysts and team members
Troubleshoot and resolve network, hardware, software and performance issues – manage on call rotation with other Big Data engineers
Research, design and implement solutions for fault tolerance, monitoring, performance enhancement, capacity optimization, and configuration management of systems and applications
Manage, enhance and audit Security Policies to ensure compliance with best practices
Proactively takes responsibility, owns any issues arising and follows through to resolve them (get the required result) and recognizes how individual responsibility impacts team delivery and inspires others to do the same
Link Travelport’s business objectives as they relate to technology deployment to internal and external customers
Implement and execute the technical direction, as laid out by Enterprise Architecture / Product Owners of the application/product in association with subject matter experts
Manage new configuration to support changes in the business model; oversee the development of functional & technical specifications for enhancements to existing functionality
Understand impacts on adjacent systems and long term impacts of decisions
Balance resource supply with demand in support of business initiatives by active participation in the prioritization forums
Oversee the change management process as it relates to testing of changes that effect global processes
Establish collaborative working relationships with multiple stakeholder groups
Work very closely with other technology and non-technology departments to ensure that needs and requirements are understood including licensing, hosting, technical architecture, access, security and control
Work very closely with assigned project manager(s) for any projects related to their applications to ensure on time & in budget delivery including the management of any bubble resources
Be fully conversant with the tools and processes in place to manage resources including time allocation and reporting
Provide assistance to the Application Delivery Director(s) as and when required
Strong analytical and problem solving skills to design alternative solutions
Strong communication skills, verbal and written, with the ability to target audiences at all levels
Ability to work under own initiative, under pressure and meet tight deadlines
Flexibility to be able to move from one project to another in a multi-tasking type environment
Educated to a degree or international equivalent standard
Proven experience in delivering Big data projects, including standing up of foundation infrastructure, building end to end ingestion pipeline and on-boarding data feeds
6+ years of relevant technology or industry experience to include Information delivery, Analytics based on data from hybrid of Hadoop Distributed File System (HDFS), non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses
At least 3 years hands on working experience with Big Data technologies; MapReduce, Pig, Hive, HBase, Sqoop, Spark, Flume, YARN, Kafka, Flink, Storm, SOLR, Elastic Search etc
Hands on experience with computer programming languages (e.g. Java, Python, and SQL)
Proven experience designing and implementing data ingestion techniques for real time and batch processes for various type of data sets into Hadoop ecosystems and HDFS clusters
Proficient in Release Management processes from a Product/ Application and Technical perspective

230

Big Data Technical Lead Resume Examples & Samples

Designing and implementing product features in collaboration with business and IT stakeholders
Working closely with the Architecture group and driving solutions
Implementing the data management framework for the Data Lake
Supporting the implementation and driving to stable state in production
Troubleshooting production support issues post-deployment and come up with solutions as required
8+ consecutive years in the software engineering profession
2+ years of hands-on expertise with Big data technologies (HBASE, HIVE, SQOOP, PIG)
2+ years of experience leading teams and/or managing workloads for team members

231

Big Data Resume Examples & Samples

5+ years of experience with distributed scalable Big Data store or NoSQL, including Accumulo, Cloudbase, HBase, or Big Table
Experience in MapReduce programming with Apache Hadoop and Hadoop Distributed File System (HDFS) and processing large data stores
Experience with the design and development of multiple object-oriented systems
Experience with extending free and open-source software (FOSS) or COTS products
Ability to show flexibility, initiative, and innovation when dealing with ambiguous and fast-paced situations
Active Secret clearance required
Experience with Apache Solr, Spark, or Hadoop
Experience with deploying applications in a Cloud environment

232

Big Data Technical Lead Resume Examples & Samples

A Minimum 5 to 7 years of experience in complete software development lifecycle using Agile and Waterfall methodologies is required
A Minimum 3 years of experience in working with cross-organization teams, driving technical discussions, managing deliverables, mentoring team members, deploying applications in a Production environment, and providing support & maintenance is required
A Minimum 2 years of experience as a Technical Lead and directing a team of junior and senior level programmers is required
A Minimum 2 years of experience in Hadoop, MapReduce, Oozie, Hive, Pig, and Sqoop is required
A Minimum 5 years of programming experience in either core Java, C , C++ , or Scala is required
Experience in SOA, Mule ESB, RESTful API, WebServices, and Messaging Systems such as RabbitMQ, JMS is required
Strong Understanding of Distributed computing design patterns, algorithms, data structures, security standards and protocols is required
A Minimum 2 years of experience in HBase, Cassandra, MongoDB, or any other NoSQL DB is deisred
A Minimum 2 years of scripting experience in either Python, Perl, Ruby, Shell scripting is desired
Experience in JUnit, JMeter , Selenium, TestNG is desired
Ability and desire to learn new skills and techniques is desired
A degree in Computer Science, Engineering, Information Systems or a related field is required

233

Infrastructure / Big Data Development Lead Resume Examples & Samples

Design and implement solutions to manage Big data platform for metrics, events, logs, and reference data, including data sourcing, extraction, transform, staging, and conforming
Develop software solutions to utilize data to deliver faster insights, and software driven automation
Provide guidance to junior team members on technical architecture, design, implementation, and prioritization of work
Ensure technical feasibility of the designs
Optimize application for maximum speed and scalability
Ensure quality of deliverables, adhering to standards in areas of code quality, test coverage, monitoring, logging, exception management, operability, and others
Establish, and regularly update, multi-phase delivery roadmap

234

Senior Manager Big Data Resume Examples & Samples

Significant exposure to big data technology (5 year +)
Highly effective leader with expertise in architecture and implementation of large & complex projects
Strong communication skills and partnerships with technology, product strategy
Demonstrated ability to incorporate innovation and strategy from domain expertise
Excellent project management skills and experience managing complex roadmaps
Degree in computer science, engineering
Knowledge of Data Quality concepts, tools and techniques, including creating a Data Quality pilot solution
Notion of Master Data Management (MDM) concepts, tools, and techniques, and creating a MDM pilot solution

235

Big Data Resume Examples & Samples

Provide technical architecture and consulting support
Review and analyze current client’s technology infrastructure while identifying, proposing strategies, and deploying and supporting critical big data solutions
Assist in the evaluation of new solutions for integration into the Hadoop Roadmap/Strategy
Participate in deep architectural discussions to build confidence and ensure customer success when building new and migrating existing applications, software and services on the platform
Participate in customer and business alignment sessions on project objectives
Identify business process transformation opportunities and develop software tools to drive efficiency in the organization
The desire to learn new soft and technology skills and the desire to coach, mentor and train peers throughout the organization
The ability to work with team mates in a collaborative manner to achieve a mission
Presentation skills to prepare and present to large and small groups on technical and functional topics
Excellent interpersonal, written and verbal communication skills
Ability to work effectively in a fast-paced, team environment
Ability to work independently to accomplish project goals
Ability to recognize areas for process improvement and formulate actionable plans to address such areas

236

Ramp Big Data Engineering Intern Resume Examples & Samples

Current student, pursuing a BS Computer Science and graduating between December 2016 and June 2017
Minimum of 3.0 GPA
Some scripting and/or programming (bash, perl, python, java)
Hunger to learn new technology
Ability to work in a team to solve a problem together

237

Ramp Big Data Engineering Intern Resume Examples & Samples

Current student, pursuing a BS Computer Science, Statistics, Applied Mathematics, Data Science, or Data Analytics and graduating between December 2016 and June 2017
Exposure to Tableau or Power BI reporting tools
Data manipulation experience

238

Big Data Infrastructure Engineer Resume Examples & Samples

Expertise with Relational and NoSQL (MongoDB) database
Experience with automating large scale big data deployments using configuration management/orchestration tools (Terraform, Ansible) and Docker containers
Extensive experience with messaging/queuing technologies (Kinesis, Kafka)
Experience with scalable infrastructure and platform (e.g. AWS) for large amounts of data ingestion, migration, and integration. Capable of building/supporting world class high-volume real-time databus and automate ingestion of various data sources
Passion for DevOps
Cloudera Certified Data Engineer (CCP), a plus
Proven track record of committing to big data related open source projects, a big plus

239

Big Data Development Lead Resume Examples & Samples

Develop complex Talend job framework using Java, Java routines, Talend Studio 5.6.2 & 6.2.1, Hadoop utilities for the user stories
Create Splunk Dashboards to monitor metadata updates, production job status, errors for operation team/clients
Develop Error Logging Framework, HPSM ticket creation and email notification to handle near real time errors using Talend, HDFS and Splunk
Performance tuning JVM settings, capturing stats using Jstat/JVisual, hive queries using various system parameters tuning, Mapreduce using memory settings/mappers/reducers
Create a common MapReduce framework to extract data from HBase and create ORC/Parquet files for better consumption and reduce storage
Extensively use HBase APIs, Hive APIs, HCatalog APIs for extracting and loading data efficiently using Map reduce
Develop Hive create external table module, custom hive UDFs for handling control character delimiters, serdes for huge column fixed width files
Implement partition and compression strategy for the DataLake data in HDFS/HBase/Hive based upon the file frequency
Create a product framework for loading and transforming of large sets of structured, semi structured and unstructured data (JSON, XML, Parquet, ORC, Sequence file, Avro, CSV, Delimited, Fixed/Positional, Key-Value pair, PDF, xlsx, zip)
9+ years of experience in IT industry in the field of Software Development, Data Warehouse
3+ years of experience in Big Data, Hadoop ecosystem, Data Integration /Ingestion using Talend 5.6.2/6.2.1
3+ years of experience with Talend tools like TAC, CommandLine, MetaServlet, Taskpool to build and deploy jobs to TAC as well as auto build/deploy using Jenkins /Groovy/Metaservlet
Experience in troubleshooting performance issues
Experience in developing product frameworks to aquire /h andle large volumes of data from multiple sources and ingest to Datalake
Expertise in developing Talend Data Integration and Map-Reduce jobs using various components
Worked in Performance Tuning and trouble shooting of Talend Standard and Map-Reduce jobs
Solid experience in design, development of Batch, Real-Time and Near-Real Time applications using Talend components with Hadoop utilities
Robust knowledge in Hadoop Utilities like Map-Reduce2, HDFS, HBase, Hive, PIG, Sqoop, Spark
Develop code meeting 100 percent of technical specifications and business requirements according to the established designs

240

Big Data Lead Resume Examples & Samples

Demonstrated Technical leadership experience in Software Engineering with enterprise architecture and Product Development
BS, MS or PhD in Computer Science or related field
At least 4+ years of experience in dealing with Big Data ecosystems

241

Big Data Presales Lisboa Portugal Resume Examples & Samples

Large experience with capacity management and IT performance
Planning and implementation IT operational process
Storage and backup optimization projects
In charge of management of infrastructure budget [CAPEX and OPEX]
Large experience with Business continuity plan and disaster recover and Obsolescence
Development and management of large teams
In charge of define the infrastructure solution, purchase, and the implementation projects
Accountable for IT capacity in order to support the business growth
Experience working with several technologies of infrastructure (Hardware of many vendors [IBM, Dell, HP,

242

Big Data Transformation Developer Resume Examples & Samples

Implement data transformation pipelines in Big Data Platform (Spark, Scala, Python)
Code and design review
Assisting Data Developers on establishing connectivity and automation for data sourcing
2+ years of experience working in data and big data projects - preferrably in data transformation area
Hadoop inc. Cloudera hands on experience
Scala (optional)
Unix Red Hat scripting (optional)
Ability to write complex SCL queries (preferable experience in DWH)"
DWH platforms
Impala
Control-M, rundeck

243

Technology Lead-molini, Il-big Data Resume Examples & Samples

The successful candidate should have 5+ years of experience in Big Data technologies & Java. Having 4 years of core Java , Java J2EE is must
Demonstrate analytical and problem solving skills, particularly those that apply to a "Big Data" environment
Deep understanding of schedulers, workload management, availability, scalability and distributed data platforms
Extensive experience building and designing large-scale distributed applications
Expert knowledge developing and debugging in Java/J2EE
Proven experience in Object Oriented Design and Development
Sound knowledge of Relational Databases (RDBMS), SQL & No-SQL databases
Experience with agile/scrum methodologies to iterate quickly on product changes, developing user stories and working through backlogs

244

HPC & Big Data Service Manager Resume Examples & Samples

Degree or equivalent experience in computing
Previous managerial experience in a technical support environment
Ability to engage at all levels within a customer organisation from technicians to senior management
Ability to lead a team and adapt the team priorities to suit customer requirements
Experience in the use of Excel spreadsheets
Ability to work with minimum of direction and to take full responsibility for areas of responsibility
Willing to travel in the UK &Ireland to customer sites
Willing to occasionally travel within Europe to develop cross GBU initiatives
Knowledge of ex-Bull processes and procedures
Experience of supporting complex computer systems, preferably HPC systems
Understanding of financial cost models

245

BIE, Big Data Ops Resume Examples & Samples

Extract data from large-scale databases, and transform it into actionable business information serving worldwide stakeholders
Design, validate, propose, implement and operate new metrics that feed business reporting and decision cycles
Collaborate with data scientists and economists on data pipeline design for prediction and inference purposes
Collaborate with data engineers, software engineers and security engineers to develop and operate our data processing toolset
Master’s degree or higher in same fields with 3+ years of experience
Experience with Spark or EMR or both a huge plus
Knowledge of AWS security & networking a plus (IAM, VPC, KMS, Git)

246

SBG Big Data Development Director Resume Examples & Samples

Responsible to get all data into Intuit Data Cloud, enable KPIs in near real-time, improve analyst productivity from weeks to hours and power Data Driven Personalized experiences
Drive a data-driven culture; craft and manage metadata, data security, data quality standards, data privacy & compliance policies
Manage the delivery of high impact dashboards and data visualizations
Define the processes needed to achieve operational & engineering excellence
Strong leadership and communication skills
Expertise with big data solutions such as Hadoop, Spark, Cassandra, Streaming technologies and Column Oriented stores like HBase
Experience in operationalizing data governance and data Quality through metadata
Familiarity with the major big data solutions and products available in the market
Expertise in creating and deploying best big data practices and methodologies
Familiarity with Parallel DBMS

247

Sde-big Data Resume Examples & Samples

Work on multiple projects as a technical team member, and develop Big data pipelines, including testing and building of automation tools
Architect, Design and implement cross functional team data solutions in alignment with project requirements and schedule
Develop, test, and document new or modified data systems to create robust and scalable applications for multiple data initiatives with monitoring, logging and notifications mechanisms
Implement security techniques as required for Big data systems
Develop standards and ETL processes for data integration initiatives
Adhere to data management standards, policies and procedures
Participate in the agile software development methodology and report into scrum meetings (planning, review and daily stand-ups)

248

Career Trainee Big Data Resume Examples & Samples

As a Big Data Solution Designer, you assume full responsibility for delivering an end-to-end Big Data solution – from requirements analysis to application rollout
You will analyze the demands of your colleagues at international locations regarding management of Big Data
You will design an appropriate Big Data solution for the demands of your colleagues, applying state-of-the art technologies and innovative approaches
You will coordinate the implementation of your design by external and internal development teams
You will ensure stable and reliable operations in cooperation with the operations team at the international R&D (Research and Development) site and in India
A solid university degree (ideally a Master’s degree)
First professional work experience (18 months are obligatory with a Bachelor’s degree)
Excellent study results
Several months of experience abroad and international exposure
Excellent English language skills along with very good knowledge of German
You have preferably completed or are about to complete a degree in Business informatics, Information technology, Computer science, Mathematics, Software engineering
Preferably you have already completed an internship in the automotive industry
Additional qualifications such as previous experience in software development, software design or software architecture are preferred
Motivation letter and CV
High school and university certificates
Documented evidence of international experience abroad
Certificate(s) of employment

249

Manager, Big Data Engineering Resume Examples & Samples

Implementing high quality big data solutions, including design, development, and deployment of new business functionality for various facets of Hadoop / Java and wider Enterprise Data Warehouse ecosystem
Drive evolution of standards & design patterns with industry best practices and new technology to enhance productivity, quality, and system performance
Drive program & system architecture discussions to identify a suitable quality solution to the business requirement
Work closely with product management to flesh out business requirements and articulate project technical requirements and deliver on requirements in an agile manner
Communicate and document solutions and design decisions
Ensure that features deployed have technical integrity and stability
Improve platform by leveraging existing technology, building new technology, and/or helping evaluate 3rd party solutions

250

Big Data System Infrastructure Engineer Resume Examples & Samples

Provide solutions for the design and implementation of multiple Linux-based HPC, Hadoop/ Big Data Infrastructure and Parallel file system servers and clusters and investigate, evaluate, test and recommend technical solutions for future systems
Deploy and maintain Hadoop/Big Data and database storage Infrastructures on prem and cloud (e.g. AWS)
Monitor installation of Hadoop/Spark/Nifi and related software releases, patches of the operating system, third-party utilities with emphasis on overall system performance
Monitor and implement Splunk / Nagios and other performance/monitoring technologies
Troubleshoot and determine root cause of complex data provenance, metadata issues and user questions that may involve interfacing with various technical staff in multiple organizations and with differing levels of expertise
Investigate, evaluate, test and recommend technical solutions for future systems
Develop tools and procedures to monitor and automate system tasks on servers and clusters
Bachelor’s degree in computer science, computer engineering, or a related field, or the equivalent combination of education and related experience
Significant experience with Linux/Unix systems including installation, configuration, networking, backups, updates and patching, and system security
Significant experience with andr knowledge of Big Data technologies such Hadoop,, Spark, Nifi, Storm, Spark, HDFS, NFS, Lustre
Significant experience with software container technologies such as Docker and Singularity
Advanced knowledge of scripting and programming languages such as C/C++, Java, Perl, Python, Expect and bash/csh/ksh
Experience with AWS/Cloud computing design, provisioning, and tuning
Significant experience supporting multiple independent but inter-related systems and software packages and demonstrated advanced ability to provide innovative solutions to broadly defined tasks and problems and to interact with system developers and vendors
Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management

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