Big Data Analytics Resume Samples

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F Zulauf

Floyd

Zulauf

717 Runolfsdottir Cliffs

Chicago

+1 (555) 278 2390

717 Runolfsdottir Cliffs

Chicago

Phone

p +1 (555) 278 2390

Experience Experience

Detroit, MI

Big Data & Analytics Coprime

Detroit, MI

Goodwin and Sons

Detroit, MI

Big Data & Analytics Coprime

To be the prime source of business propositions and strategy building - disseminating and sharing knowledge and expertise extensively across territory
Works with Marketing counterpart to build and execute an aligned and regionally relevant pipeline generation plan, with supporting content on solution
Focuses greatly upon increasing our Cloud footprint in the market, and upon improving the ratio of growth for Cloud vs On Premise solutions
Provides periodic product updates for the Sales as well as facilitating units, and acts as the advocate/ evangelist and point of contact for the solution area
Conduct analysis and prepare data to feed into MEA Management reports pertaining to market conditions, potential to grow, performance and opportunities
To be the Big Data and Analytics CoPrime for a specified territory in MEA
Identifies trendsetter ideas in the industry/markets and assesses the competitive edge for Oracle’s Big Data and Analytics value proposition

Phoenix, AZ

Big Data & Analytics Practice GM

Phoenix, AZ

Sporer-Toy

Phoenix, AZ

Big Data & Analytics Practice GM

Identifies and cultivates opportunities for selling extensions to existing project work as well as new downstream opportunities
Work with other functions for business continuity of services
Collaborate closely with demand management and resourcing to meet opportunities forecasted within Salesforce
Participates in qualified sales opportunities starting at define opportunity phase of client value cycle for solutions, offerings and services within line of service
Responsible for managing a client-focused (vs. technology-focused) service structure that delivers continuous improvement in quality, cost and account / customer satisfaction
Develops and manages 12-month rolling resource demand forecast to the delivery centres, based on forecasted demand for all accounts
Ensures solution lifecycle management processes occur across portfolio of BD&A practice

present

Phoenix, AZ

Data Quality Team Lead-big Data Analytics

Phoenix, AZ

Maggio LLC

present

Phoenix, AZ

Data Quality Team Lead-big Data Analytics

present

Provide coaching and performance improvement opportunities
Work with key stakeholders to develop and articulate proposed Big Data visualization solutions
Create / develop / maintain data quality measurements
Develop recommendations as to how the business and IT teams can constantly improve their Data Governance and Data Quality practice
Develop and maintain a working relationship with various information support teams to leverage data value across the enterprise
Develop summarized Data Governance / Data Quality analysis and dashboards using Business Intelligence reporting
Communicate out to multiple audiences with professional documentation on data management and inventory

Education Education

Bachelor’s Degree in Computer Science

Oregon State University

Bachelor’s Degree in Computer Science

Skills Skills

Demonstrate good interpersonal skills and communication skills in interfacing with other teams like Product management, Quality Assurance etc
Track record of strong troubleshooting and problem resolution skills
Demonstrated experience and proficiency in
Should be able to think out of the box and contribute towards future IPs
An ability to understand and write scripts in shell or other scripting languages
Great team person that other team members love working with
Experience working with Amazon Web Services or other cloud-based hosting environments for 3+ years
Participate in hiring activities and help onboard more rockstars like you
Proactively contribute to improving team and process performance
BE / ME / MS

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VP of Big Data & Analytics Resume Examples & Samples

Be a thought leader in Big Data, Data Analytics & Data infrastructure engineering and constantly innovate the products, remain ahead of the curve
Have a strategic role in defining the vision and the execution strategy for the key Big Data initiatives in the company. Your role encompasses meeting customers, representing PubMatic at events and conferences, publishing technical articles and whitepapers, etc. Your industry knowledge and customer feedback will form key inputs into the product roadmap and competitive differentiation
Design, manage and innovate the Data Analytics platform, Big Data infrastructure and reporting workflow at PubMatic, scaling to 10PB in size, across multiple datacenters, geographies and timezones
Collaborate across various cross-functional teams to deliver end-to-end product features. As a leader you will work with product management, IT and operations, in addition to engineering to accomplish the goals
Proactively identify architectural weaknesses and recommend appropriate solutions
Be very hands-on and own and drive key product features
Handle customer escalations in a timely and effective manner
Motivate engineers in the team, providing well-defined career path & growth opportunity
Mentor and coach the development team to facilitate their development and provide technical leadership to them
Rise above detail to see broader issues and implications for whole product/team
BS/MS in Computer Science or equivalent from a premier institute
10-15 years of strong product development experience in building massive scale distributed systems
Strong understanding of Big Data eco-system and technology stack
Hands-on knowledge of key technology areas in the Big Data space, including open source software stack, infrastructure pieces and new technology areas
Good experience in working with Hadoop and technologies like HDFS, HBASE, Scribe, Zookeeper, Storm, Flume, Kafka and NoSQL systems
Experience of working on massively large scale data systems in production environments
Experience in building and managing large-scale data pipelines
Experience in Big Data analytics along with Business Intelligence, Reporting and Data Warehousing domain/products
Strong leadership skills that inspires team confidence and respect while motivating team members in a creative and effective manner
Demonstrate ability to share and communicate ideas effectively to executive staff, business sponsors and technical/product leadership team

Big Data & Analytics Resume Examples & Samples

At least 3 years experience in Big Data and Advanced Analytics solutions
At least 5 years experience in Data Warehousing, Business Intelligence, and other Enterprise Information Management
At least 5 years experience in Business development and C-suite relationship builder skills
At least 5 years experience in Negotiating and selling consulting projects
At least 5 years experience in Formal project management methodology
At least 7 years experience in Financial Services sector with specific concentration in Insurance, Banking, or Financial Markets
At least 3 years experience in Business Intelligence tools such as Cognos, SAS, MicroStrategy

Leader of Big Data & Analytics for FSS Sector Resume Examples & Samples

Proven sales track record and demonstrated proficiency in developing channel and client relationships
Excellent client interaction and relationship building skills with ability to work both middle and executive management
Chinese simplified: Fluent

Big Data & Analytics Resume Examples & Samples

Grow the BD&A Domain in Greater China Group (GCG) for FSS
Craft account-specific targeting programs to position GBS services and technology assets
Expertise with designing, integrating and implementing big data & analytics solutions in either banking, insurance and or capital markets industry
Experience working with clients to formulate big data & analytics visions & solutions
Successful hands on full life cycle project experience on end-to-end solutions
Excellent oral and written communications skills in English and Mandarin

Big Data & Analytics Infrastructure Resume Examples & Samples

Serve as primary technical lead and liaison for Ford Credit Risk IT for Analytics and Big Data systems infrastructure
Work closely with Ford Credit Architecture Development and Research in building out new analytics/big data technologies for Global Analytics
Ensure Technology Life Cycle Planning and focus on best practices for on-going operations
Serve as Primary Linux Infrastructure Specialist for Ford Credit Risk IT, managing their Linux Server Infrastructure, and serve as primary focal point with Ford Motor Linux Infrastructure teams for Global Analytics
Serve as primary SAS Infrastructure and Systems Engineer for Ford Credit IT, including installation, tuning, and management of all Ford Credit SAS installations. Mentor other team members
Strong analytical and problem solving skills combined with deep ability to apply logical reasoning
3+ yrs with experience in application & infrastructure management
3+ yrs with Linux Server Experience, including File System access control list (ACL), and Security Management
Ability to apply approved architectural uses of approved Analytics, Big Data and High Performance Computing technologies, including analytic-focused massively parallel processing (MPP) relational database management system (RDBMS) such as Teradata, Greenplum, Netezza and Hadoop (Hive, Pig, MapReduce, Sqoop, Spark)
Aptitude to learn SAS Server Infrastructure design, implementation and management, including both operational (e.g. Customer Intelligence Real Time Decision Manager and Business Intelligence (BI) Web Services) as well as analytical (BI Server, Enterprise Guide, Enterprise Miner, High Performance Analytics) usages of a wide array of SAS technologies
2+ yrs experience with supporting Analytics and Data Scientist users
2+ yrs experience with Analytical Data Management

Big Data Analytics Resume Examples & Samples

Manage data transformation processing architecture and job management
Interface with data modelers on their transformation and model deployment requirements
Work with model consuming applications on the delivery and integration of model results
Work with Intelligent Solutions and GTI in the management of the Hadoop infrastructure and environments
Integration of data mining tools into the team Data Scientist toolkit
5+ years in Engineering role
3+ years hands-on experience with Hadoop HDFS, or other MPP environment
Demonstrated experience with Hive, Pig, Impala, and/or Spark
Knowledgeable working with MLLib, Mahout, NLTK, OpenNLP, Spark Streaming
Hands on Experience with Kafka, Sqoop, and Flume
2+ years on Yarn, Zookeeper, Oozie
Working experience with HBase, Elasticsearch, Solr, MongoDB, Cassandra
3+ years hands-on with Java, Scala, Maven, Spring, API, and Linux scripting
4+ years with Oracle, MS SQL, MySQL, or Postgresql databases and constructing data models
3+ ETL solutions experience with Informatica, Abinitio, or Control-M
2+ years on SAS, R, MADlib and other data analytic technologies
Strong work ethic, self-starter who is creative with a 'can-do' attitude
Undergraduate or advanced degree in Computer Science, Computer Engineering or relevant work experience

Big Data & Analytics Engineering Resume Examples & Samples

Providing Unix/Linux development tool subject matter expertise to the unix/linux development communities
Architect/Design/Develop/Support enterprise scale systems/tools/frameworks/libraries for global use across Citi’s Technology groups
Proactively identifying and implementing opportunities that enable the development groups to provide the best solutions to their businesses
Understanding technology industry trends, how they impact our future solutions and provide strategic direction for the development community
Evaluating and providing technical solutions to solve complex/problematic processes and applications
Evaluating and performing POC on new strategic technical products and applications
Maintain an understanding of projects and strategies within all areas and ensuring that any opportunities for collaboration and reuse are identified and facilitate its implementation
Manage CATE initiatives and manage issues to resolution
Strong demonstrable experience in system solutions design (coming from a development background)
Strong understanding of the Software Development Life Cycle
Strong Understanding of architectural concepts and design
Demonstrable client management skills

Big Data & Analytics Practice GM Resume Examples & Samples

Report to the UKIN GBS DA GM and Delivery Lead
Run and grow P&L for BD&A in the region
Collaborate closely with demand management and resourcing to meet opportunities forecasted within Salesforce
Work with other functions for business continuity of services
Ensure process compliance of the practice (ITIL, CMMI, SAE16, ISO9001)
Develops and manages 12-month rolling resource demand forecast to the delivery centres, based on forecasted demand for all accounts
Attend weekly/monthly regional team calls
Manages team accountability for delivering solutions that meet client requirements and for achieving company profitability goals
Establishes and articulates innovations and growth opportunities for client and the company
Participates in qualified sales opportunities starting at define opportunity phase of client value cycle for solutions, offerings and services within line of service
Ensures solution lifecycle management processes occur across portfolio of BD&A practice
Responsible for competitiveness and bench-marking of services
Identifies and cultivates opportunities for selling extensions to existing project work as well as new downstream opportunities
Accountable for maximizing services uptake to in-region accounts
Contributes to activities necessary to influence marketing and analyst relations activities that affect the competitiveness of the GBS solution portfolio
Evangelist for promoting the value and benefits of BD&A services to accounts and potential clients
Responsible for delivery of Programmes / Projects to agreed KPI’s from within the BD&A practice
Ten or more years of industry or client relationship experience
Five or more years managing people
Five or more years of relevant Project / Service Delivery experience
Experience working with concepts, practices, and procedures in areas of responsibilities
Experience working with management implications of various forms of financial data
Strong communication skills needed to interface with high-level customer representatives
Strong strategic management and planning skills
Ability to represent company with internal and external clients
Ability to use own judgment and take initiative in problem resolution Leadership skills to guide and mentor the work of less experienced personnel
Ability to understand and identify with client business and business conditions

IT AS Senior Manager, Big Data & Analytics Resume Examples & Samples

Minimum 5 years overall experience in IT applications development
Minimum 4 years technical experience in a BI / Data Warehouse environment
Experience delivering Data & Analytics solutions using AWS S3/EC2/Redshift/RDS, HADOOP, TERADATA, SAP, and Analytic/Visualization technologies is preferred. (Tableau/Qlik/Cognos/Spotfire)
Experience delivering projects in Agile/Scrum methodologies is a plus
You have proven leadership skills including direct management of large internal teams, a track record of developing talent, and setting and achieving aggressive goals
Experience managing onsite and offshore resources
Well-developed presentation and facilitation skills
Strong project management skills to lead and direct a global project team
Experience Managing Software Development, People Management, Vendor Management, Customer & Stakeholder Partnerships
An understanding of IT service management principles and practices is a plus

Associate Partner, Big Data & Analytics Resume Examples & Samples

At least 5 years experience in working within the Financial Services sector with specific concentration in Insurance, Banking, or Financial Markets preferred
At least 5 years experience in business development and C-suite relationship builder skills
At least 5 years experience in negotiating and selling consulting projects
At least 5 years experience in formal project management methodology
At least 5 years experience in Big Data and Advanced Analytics solutions
At least 7 years experience in Data Warehousing, Business Intelligence, and other Enterprise Information Management
At least 7 years experience in working within the Financial Services sector with specific concentration in Insurance, Banking, or Financial Markets preferred
At least 7 years experience in business development and C-suite relationship builder skills
At least 7 years experience in negotiating and selling consulting projects
At least 7 years experience in formal project management methodology
At least 3 years experience in Business Intelligence tools such as Cognos, SAS, MicroStrategy, etc

Big Data Analytics Technical Lead Resume Examples & Samples

Bachelors degree in related field
8 to 12 years of technical solutions experience including 2 – 4 ETL/DW/BI based Project implementation experience, 3+ years of experience in Big Data Analytics
Hortonworks Hadoop Distribution Platform experience
Industry vertical application for Big Data/AnalyticsExperience with Hadoop ecosystem of tools for Data ingestion like Apache Flume, Apache Sqoop, Apache Kafka, for Data transformation like MapReduce, Pig, Hive, for Data stores like Hive, HBase is must
Proficiency in working with database / engines like Teradata is needed
Experience in Linux, Shell scripting and Python scripting is a must
Good to have Core Java knowledge but not mandatory
Deployment of a large distributed Big Data Application
Experience in Requirements Engineering, Solution Design, Development and Deployment
Strong technical team leadership, mentor-ship and collaboration working in a global delivery model (Onsite / Offshore teams)

Big Data Analytics Technical Lead Resume Examples & Samples

Hadoop (Hortonworks) and other Industry BigData Platforms
Industry vertical application for Big Data/Analytics
Experience with tools like Attunity ETL, Apache Nifi, Apache Kafka, Apache Storm / Spark Streaming is must
Proficiency in working with database / engines Hive, Hbase, Phoenix, HAWQ, Kylin & Spark SQL is needed
Good to have Core Java knowledge
A broad set of technical skills and knowledge across hardware, software, systems and solutions development and a across more than one technical domain

Big Data & Analytics Systems Analyst Resume Examples & Samples

10+ years of IT experience
3-5 Years of Big Data Eco-System experience – Cloudera Hadoop, Hive, Impala, Java/Python, JSON, SQOOP, PIG and Linux
High-level knowledge on the Spark eco-system
Experience with Business Intelligence frameworks and ETL tools
Prior development Experience
Experience with various data types (e.g. Relational, Unstructured, Hierarchical, and Semi-Structured Data Sets)
Prior experience in database modeling classes, MIS or EIS, system support, analytics, statistics. Understanding of using statistical modeling and/or machine learning techniques to build models that have driven company decision making
Experience with system integration, desktop technologies, windows server platforms and mobile technologies
Experience in managing and manipulating large, complex datasets
Understanding of functional pricing, rating plan design, and insurance regulation knowledge, with working knowledge of personal lines underwriting and product offerings
Master’s degree preferred in Computer Science or Computer Engineering

Big Data Analytics Tech Lead Resume Examples & Samples

Profit share or bonus plan subject to the company annual results
Flexible working arrangements
Numerous training, coaching and e-learning modules for long term job opportunities and development

Big Data Analytics Resume Examples & Samples

Developing applications that exploit a unique collection of scientific data
Want to be a key player in our open-engaging-collaborative-Agile team
Experience with Spark, or the Hadoop ecosystem and similar frameworks
A positive, constructive approach with an emphasis on collaboration and good execution

Tech Lead-big Data Analytics Resume Examples & Samples

Act as a “hands on” team lead with a proven track record of delivering high volume, mission critical Big Data Solutions
Integrate with wider systems to make data easily available to others requirements
Work with engineering leads to maintain alignment with overall architecture and design patterns

Big Data Analytics Resume Examples & Samples

Ability to architect large scale big data analytic systems
Thorough understanding and hands on experience on Hadoop/Spark based distributed storage and computing frameworks
Good understanding of machine learning techniques and statistical methods such as predictive modeling, pattern recognition, text mining, sentiment analysis, index building, clustering
Hands on experience on AI related technologies and Data Science
Proficiency in several technologies in the Big Data ecosystem, such as SQL, NoSQL, database design, ETL, Talend, Hadoop, MapReduce, Hive, Pig, Impala, Spark, HBase, Flume, Mahout, Scoop, Kafka, H2O
Experience in programming scripting languages such as Python, Java, Ruby, Perl, Scala
Experience in analytics tools such as R, SAS, SPSS, RapidMiner, Knime
Real-Time analytics and batch processing
Strong experience in architecting analytical applications in cloud environment such as Amazon Web Services, Microsoft Azure and Openstack
2+ years of experience with the Big Data ecosystem. Prefer 7 years of experience in Analytics/BI
Excellent customer interaction skills to present proposals, articulate analytics value to customers and lead customer engagements with a matrix structure
Desirable to have strong knowledge in Wireless domain and consumer data analytics
5-10 years of consulting/solution delivery/engineering experience in Wireless/ Telecommunication/Cable or Enterprise market
At least 5 years of experience in Wireless/Telecommunication/Cable
Strong technical team leadership, mentorship and ability collaborate with peer teams
Ability to develop technical relationships with partner companies and vendors
Graduate degree in Computer Science, Statistics or an equivalent Engineering degree required. Master’s/PhD is a big plus

Data Quality Team Lead-big Data Analytics Resume Examples & Samples

Work closely with the Advanced Reporting and Analytics business teams to define our data quality needs and support our Big Data activities
Work with IT partners to identify the technology platforms and develop technology strategy to support data management, data quality and data governance including identifying, categorizing and mapping data flows
Present our data quality offerings aimed at leadership
Partner with IT to evaluate and determine the strategy for Data Governance toolset, and actively contribute towards the direction for Data Quality capabilities
Manage the implementation and monitoring of automation tools for Data Quality
Create / develop / maintain data quality measurements
Manage data quality documentation
Develop and maintain a working relationship with various information support teams to leverage data value across the enterprise
Develop recommendations as to how the business and IT teams can constantly improve their Data Governance and Data Quality practice
Perform research and analysis to rationalize and support the various Data Governance programs and Data Quality initiatives
Identify and document metrics to measure and track Data Quality and the progress of Data Governance on the department
Train and articulate to the other departmental professionals regarding the benefits and need for Data Governance and Data Quality
Develop summarized Data Governance / Data Quality analysis and dashboards using Business Intelligence reporting
Select, recommend and apply appropriate analytic and statistical methodologies and techniques to execute against an analysis plan or research objectives
Leadership of key projects to ensure successful completion
Work with key stakeholders to develop and articulate proposed Big Data visualization solutions
Gather and update project materials, project documentation, business process flows, and lessons learned documentation
Facilitate meetings; track project tasks and status; track roadblocks and issues; raise project risks; and write meeting minutes
Adhere to UHG quality principles (responsive, accurate, concise, and strategic), style guide, and other criteria for a compelling and consistent message
Provide quality assurance assessment for all document deliverables
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 data quality initiatives and objective milestones
Demonstrate strong strategic technical planning skills
3+ years of Data Quality and / or Governance experience
3+ years of business intelligence and / or big data experience
3+ years technical experience supporting data quality related tools and projects
3+ years leading Data Quality Teams
Data Quality knowledge - Profiling, Knowledge Repository, etc
Big data tools or development practices knowledge
Data lifecycle management process
Healthcare data experience
MapR / Hive / Spark knowledge
Proficiency with MS Visio and documenting tools

Manager, Big Data & Analytics Resume Examples & Samples

Rapidly architect, design, prototype, and implement architectures to tackle the Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations
Work in cross-disciplinary teams with KPMG industry experts to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails financial data, and operational data
Research, experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, Redshift, Netezza, SAP HANA, and Microsoft Azure
Architect, implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMG’s own clusters
Translate advanced business analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports, and presentations
Develop skills in business requirement capture and translation, hypothesis-driven consulting, work stream and project management, and client relationship development
Bachelor’s degree from an accredited college/university in Computer Science, Computer Engineering, or a related field and minimum seven years of big data experience with multiple programming languages and technologies; or Master’s degree and a minimum of five years of experience; or PhD in Computer Science, Computer Engineering, or a related field with minimum three years of big data experience
Fluency in several programming languages such as Python, Scala, or Java, with the ability to pick up new languages and technologies quickly; understanding of cloud and distributed systems principles, including load balancing, networks, scaling, in-memory vs. disk, etc.; and experience with large-scale, big data methods, such as MapReduce, Hadoop, Spark, Hive, Impala, or Storm
Ability to work efficiently under Unix/Linux environment or .NET, with experience with source code management systems like GIT and SVN
Ability to work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to business people
Ability to travel up to 80%

Big Data Analytics Technology Lead-ireland Resume Examples & Samples

Accountable for the local tech delivery plan for all the Programme activities and their subsequent implementation
Ensures the local operational support of the local components of the Advanced Analytics architecture
Technical delivery of analytics solutions with high data volumes in a commercial environment (ideally Hadoop)

Director, Big Data / Analytics Resume Examples & Samples

Perform detailed analysis of consumer credit operations across industries such as financial services, power and utilities, and telecom
Analyze large datasets using econometric modeling and other business analysis tools such as SAS
Develop loan portfolio stress testing models using economic variables
Create consumer credit loss forecasting methodologies for clients and evaluate analytical models and methodologies used in consumer credit lending, account management, and collections
Write and present clear and concise reports and presentations to clients containing meaningful recommendations
Oversee engagement personnel
Eight years of work experience with at least two years of experience at a major consulting firm
Quantitative academic background in Engineering, Operations Research, Physics, Mathematics, or Statistics from an accredited college/university; MBA, MS, or PhD from an accredited college/university preferred
Experience with complex multivariate modeling techniques used in the financial services industry
Knowledge of credit scoring, credit analytics, and loan loss reserving for retail and/or credit
Familiarity with underwriting and behavior scoring models, prepayment and loan account attrition models, loss forecasting, economic risk analysis, and other business analysis tools used in consumer and small business lending
Travel may be up to 80-100%
Ten years of related work experience in a financial services or consulting firm
Well-established understanding of business dynamics and regulations
Established network of industry contacts and development opportunities

SVP / VP, Big Data & Analytics Resume Examples & Samples

Responsible for planning, leading, organizing, and motivating Agile project teams to achieve a high level of performance and quality in delivering agile projects that provide exceptional business value to users
Responsible for managing multiple concurrent high visibility projects using agile methods in a fast-paced environment that may cross multiple business divisions
Put in place the appropriate people, process, and tools and coaching members of the team as needed to optimize the efficiency of the project team
Drive continuous improvement of best practices an Agile environment
Solid understanding of software development life cycle models as well as expert knowledge of both Agile and traditional project management principles and practices and the ability to blend them together in the right proportions to fit a project and business environment
A proven track record of successfully implementing software or web development projects using Agile methodologies including 8+ years of experience as a Project Manager managing large, complex projects in a high-tech development environment with multi-function teams
Prior experience with SCRUM/Agile methodologies with enterprise-level application development projects. PMI-ACP, CSM, or equivalent preferred
Experience overseeing Scrum of Scrums with at least 80-100 team members including Developers, Business Analysts, and QA l
Balanced business/technical background

Big Data & Analytics Programme Director Resume Examples & Samples

Drive the creation of the overall portfolio management framework to manage all projects related to the Big Data and Analytics area
Manage the prioritization, scope, financials and headcounts for the portfolio
Recruitment of required resources

Big Data & Analytics Coprime Resume Examples & Samples

Co-create and Co-own, with Business Development leaders as well as Product Leaders, a Go-to- Market plan with defined stakeholders, clear strategy, specific objectives and detailed tactics
Collaborate effectively across multiple teams and stakeholders to achieve goals: Cloud Sales, Core Tech and Systems Sales, Sales Consulting, EMEA Big Data and Analytics Team, Services Teams such as OCS and ACS, the Industries Group, xLoB Architects, Alliances and Channels, Marketing etc
Create, communicate, monitor and review achievement of sales campaigns and investment activities
Ability to host and speak at Oracle marketing events as well as 3rdparty product and industry forums
Conduct analysis and prepare data to feed into MEA Management reports pertaining to market conditions, potential to grow, performance and opportunities
Masters Degree in relevant field (could be an MBA, a Comp Science degree, or other degrees which focus on analysis and strategy development)
Full understanding of Oracle Big Data and Analytics solution portfolio offerings and strategy
Clear understanding of technology concepts such as Cloud, PaaS/IaaS, IoT, Machine Learning, AI etc. all of which are closely related with Big Data and Analytics
10 years+ of experience in relevant software markets with experience in analytical and business management in strategic sales and/or business development organization
Experience in and affinity with working in an international and multi-cultural environment
Proven team player – with ability to work with team members across geographies, across LoB
Ability to deal with complex problems, evaluate risks, make decisions where there is no precedent or formal procedures

Technical Leader Big Data Analytics Resume Examples & Samples

Expertise in building high performance, highly scalable solutions deployed on the cloud (AWS or others)
Must have expertise in Java, Python programming, Golang is a big plus
Experience in container technologies, orchestration and writing containerized software (using docker, lxc, kubernetes or mesos)
Experience initiating cross-function collaboration with Ops, Product and Design to develop high quality, focused products (and inspire your team to independently initiate this same collaboration)
Experience building high performance distributed system solving large scale engineering challenges

Principal Engineer SW BIG Data Analytics Resume Examples & Samples

Design and build batch and real time data processing components that can execute at scale while delivering on product feature requirements
Hands on Rockstar with in depth specialist knowledge in distributed computing who can belt out good code in no time
Be a key contributor in helping scale the platform to millions of devices in real time and batch
Proactively contribute to improving the availability and reliability of the platform and its components
Lead from a position of respect borne from strong programming skills, work ethics and professional attitude
Contribute to DevOps efforts
Contribute to the architecture and design while aligning with overarching Harman Automotive IoT Platform architecture, the base platform and core principles
Continously learn and bring new ideas to improve products and platform
Review peer code and provide constructive feedback
Mentor junior software engineers
Great team person that other team members love working with
Demonstrate good interpersonal skills and communication skills in interfacing with other teams like Product management, Quality Assurance etc
Participate in hiring activities and help onboard more rockstars like you
Proactively contribute to improving team and process performance
BE / ME / MS
Minimum 4+ years experience developing Big data / Hadoop applications
Minimum 10+ years experience with Java
Strong experience in writing Map-Reduce applications in Java and/or Spark applications and/or Stream processing applications using Spark/Samza/Storm/KCL/Kinesis/Kafka
Experience with Maven, SVN/Git/CVS (for revision control), JIRA/ClearQuest
Experience working with Amazon Web Services or other cloud-based hosting environments for 3+ years
Experience with scaling applications, performance tuning and optimization for 2+ years
Experience in NoSQL (MongoDB/HBase/Aerospike etc) for 2+ years
Experience building and maintining automated tests using JUnit
An ability to understand and write scripts in shell or other scripting languages
Demonstrated experience and proficiency in
Big data focused platforms
Should be able to think out of the box and contribute towards future IPs
Should be a self motivated, result oriented and an excellent team player
Should have excellent written and verbal communication skills