Hadoop Architect Resume Samples

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GL
G Langworth
Gerardo
Langworth
296 Yundt Isle
San Francisco
CA
+1 (555) 476 1954
296 Yundt Isle
San Francisco
CA
Phone
p +1 (555) 476 1954
Experience Experience
Phoenix, AZ
Hadoop Architect
Phoenix, AZ
Halvorson and Sons
Phoenix, AZ
Hadoop Architect
  • Oriented common services platform. Build the platform using Cutting-edge capabilities and emerging technologies, including the Data Lake and Hortonworks data platform, which will be used by thousands of users. Work in a Scrum
  • Based Agile team environment using Hadoop. Install and configure the Hadoop and HDFS environment using the Hortonworks data platform. Create ETL and data ingest jobs using Map Reduce, Pig, or Hive. Work with and integrate multiple types of data, including unstructured, structured, and streaming. Use Lucene
  • Powered tools to implement a search service for all data sets
  • Communicates tactical process decisions and plans, project status, and issues and workarounds, in order to achieve alignment with relevant areas of the business, function, or region
  • Leads internal projects with medium to high complexity and risk, provides feedback on projects, and conducts post- project evaluations
  • Utilizes and assists others in utilizing standard project management and quality
  • Improvement methodologies in process improvement approaches
Los Angeles, CA
Enterprise Hadoop Architect
Los Angeles, CA
Kris-Kub
Los Angeles, CA
Enterprise Hadoop Architect
  • Candidate might have worked as one or more role e.g. Data architect, Data modeler, Data integration developer/architect, ETL developer/architect
  • Interprets business strategy and develops organizational objectives to align with this strategy. Typically manages multiple teams of professionals
  • Worked across technical and business team in order to harmonization data asset
  • Development of End to End ETL data integration and solution architecture
  • Manage and Co-ordinate 1-10 matrix resources,
  • Perform other related duties and tasks as assigned
  • Punctual, regular, and consistent attendance
present
Phoenix, AZ
Senior Hadoop Architect
Phoenix, AZ
Rempel, Kub and Fadel
present
Phoenix, AZ
Senior Hadoop Architect
present
  • Performs data profiling on big data distributed computing environments, relational databases and XML
  • Mentors junior team members in training and developing technical expertise
  • Exhibit confidence and an extensive knowledge of emerging industry practices when solving business problems
  • Conducts root cause analysis on systems and database issues throughout the life cycle of the project
  • Perform detailed systems and data analysis in order to provide high quality and detailed open source tools and Hadoop big data platform architecture designs. Performs cost, benefit and ROI analysis ensuring the closest involvement with, and agreement from, the user & technical community. Aligns to corporate architectures and standards
  • Performs long-term evaluations of systems, databases, and solutions for security risks. Considers innovative methods and designs to continuously improve our technical capabilities / solutions
  • Model processes to clarify technical designs, and to enhance or re-engineer business processes, prior to, or in parallel with, solution design and implementation, as necessary
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
University of Oregon
Bachelor’s Degree in Computer Science
Skills Skills
  • Should be proficient in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design
  • Should be proficient in Business Analysis, Business Knowledge, Architecture Knowledge, Technical Solution Design and Vendor Management
  • Good understanding of quality and Process frameworks
  • Proven ability to transfer knowledge and stay aware of current trends and technical advancements
  • Excellent written and oral communication and persuasion skills, including the ability to create effective marketing and messaging materials
  • Demonstrated ability to appreciate and engage in both big-picture strategic activities and detail-oriented tactical activities
  • Demonstrated proficiency in basic computer applications, such as Microsoft Office software products
  • Strong executive presence and ability to interact with CxO level
  • Solid data-modeling and information classification expertise at the enterprise level
  • Strong leadership skills
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5 Hadoop Architect resume templates

1

Hadoop Architect Resume Examples & Samples

  • Developing both batch and real time applications on the Hadoop platform
  • Ability to provide guidance, based on real experience, on the structure of a multi-tenant Hadoop infrastructure. Specifically, a candidate should be able to devise successful plans for mixed workload management, structuring of HDFS, job scheduling, and platform sizing based on business requirements and SLAs
  • Experience designing and developing non-trivial ETL processes within Hadoop using tools like Pig, Sqoop, Flume, and Oozie
  • Solid understanding of the Map-Reduce paradigm and practical experience writing against the associated Java APIs
  • Expertise in the organization of development projects and using tools such as Maven and Git to automate build and deployment processes
  • Experience with one or more data analysis tools such SAS, SSAS, or R
  • Experience with one or more data reporting tools such as Tableau or Datameer
  • Understand the importance of tracking data lineage and providing trusted data to multiple discerning consumers
  • Experience creating and maintaining pipelines of data with well documented lineage
  • Solid data-modeling and information classification expertise at the enterprise level
  • Comfortable presenting to senior management
  • Excellent written and oral communication and persuasion skills, including the ability to create effective marketing and messaging materials
  • Ability to assess rapidly changing technologies and apply them to business needs
  • Excellent analytical and technical skills
  • Demonstrated ability to appreciate and engage in both big-picture strategic activities and detail-oriented tactical activities
  • 5 or more years of experience in IT
  • Hands-on experience developing Hadoop based applications using Pig, Sqoop, Flume, Map-Reduce, Oozie, Spark, etc
  • Exposure to multiple, diverse technical configurations, technologies, and processing environments
2

Enterprise Hadoop Architect Resume Examples & Samples

  • Interprets business strategy and develops organizational objectives to align with this strategy. Typically manages multiple teams of professionals
  • Development of End to End ETL data integration and solution architecture
  • Worked across technical and business team in order to harmonization data asset
  • Experience with SQL & BTEQ Scripting: Strong data management and data analysis and performance tuning required
  • Experience with Hadoop Hive, Pig, Flume, Sqoop, storm, Kafka, Accumulo, and HBase
  • Candidate might have worked as one or more role e.g. Data architect, Data modeler, Data integration developer/architect, ETL developer/architect
  • Experiences solution architect to design, develop and implement ODS, EDW, Data Integration Layer etc
  • Knowledge in data warehousing methodologies and best practices required
  • Effective interpersonal relations skills, ability to effectively collaborate with others and work as part of a team required
  • Skills in navigating a large organization in order to accomplish results required
  • Ability to initiate and follow through on complex projects of both short and long term duration required
  • Excellent organizational and time management skills required
  • Excellent analytical and problem solving skills required
  • Works independently, assumes responsibility for job development and training, researches and resolves questions and problems, requests supervisor input and keeps supervisor informed required
  • Participate on interdepartmental teams to support organizational goals
  • Perform other related duties and tasks as assigned
  • Advanced Degree in technical discipline and/or management required
  • 10+ year of experience with data integration, Data Warehouse and ETL Architecture
  • Experience with Teradata and Hadoop Ecosystems
  • Experience working across multiple solution architect, business partner and program and project to harmonize, data platform, process, integration, data asset within Comcast
  • 5 + year of experience working as data integration, data solution architect EDW, ODS, ETL architect or similar role required
  • Five to seven years' experience leading data integration, Development of ETL architecture using Linux, Informatica, Teradata, SQL, BTEQ, Hadoop Hive, Pig, Flume, Sqoop, and UC4
  • Experience working as solution architect supporting Platform as Service Organization
  • Requires understanding of complete SDLC and Experience with continuous integration, test-driven/behavior-driven development, and agile, scrum development methodologies
  • Experience collaborating and partner with technical and business team to present, define, strategies, requirement, road-map, budget, solution
  • Experience presenting strategies, road-map and gap analysis, for technology and business solution up-to VP level
  • Experience designing logical and physical architectures
  • Experience managing teams of senior technologists
  • Experience working in an Agile development methodology in a data warehouse environment
  • Ability to work effectively across organizational boundaries
  • Excellent oral, written, analytical, problem solving, and presentation skills
  • Manage and Co-ordinate 1-10 matrix resources,
  • Experience with mange service and on-shore and off-shore development experience is must
  • Telecommunications experience Knowledge of Telecommunication/Cable billing, customer care systems e.g. DST, CSG and AMDOC etc
  • Hadoop, Teradata, TOGAF Certified
3

Manager, BI COE Hadoop Architect Resume Examples & Samples

  • Data – for Integration, Governance, Quality, Security, Metadata and Delivery
  • Technology and Standards – for Data Ingestion, Storage, Transformation, and Analytics
  • Solution Design - for Integration with the overall Logical Data Warehouse, Hadoop Data Modeling and Analytics, and overall Solution Delivery
  • Participate in creating of BI COE department or project budgets. Responsible for budgets as assigned in designated areas of responsibility
  • Maintain technical proficiency and expertise in the areas of BI/big data industry trends and Rockwell Automation’s business operations. Where applicable, participate in the selection of BI COE software tools based on business user requirements
  • Recommend implementation of BI COE capabilities to support Rockwell Automation’s objectives
  • Qualified candidates must have a BS or BA degree in Computer Science, Mathematics, Engineering, Management Information Systems (MIS) or 10 years' related work experience
  • Experience architecting and implementing Hadoop production solutions including: HDFS, Flume, Hbase, Hive, Impala, Pig, Sqoop. Major work in Proof of Concept systems will be considered where appropriate with applicable industry relevance
  • Production experience with the Cloudera distribution of Hadoop
  • Experience troubleshooting Cloudera production environments
  • Thorough knowledge of Business Intelligence and Analytics technologies and their practical applications in the workplace
  • Experience with data warehousing architecture and how to effectively leverage Hadoop in a data warehousing ecosystem
  • A minimum of 7 years of experience in data modeling architecture or related business experience
  • Proficiency with SQL and RDBMS technologies
  • Proficiency with Java and Python
4

Hadoop Architect Resume Examples & Samples

  • 2+ years of experience with Java programming
  • 1+ years of experience with Hadoop or HDFS
  • 1+ years of experience with Map Reduce, Pig, or Hive
  • 1+ years of experience in working with relational databases and SQL, including MySQL, PostgreSQL, or Oracle
  • Experience with a NoSQL database
  • BS degree in CS, Computer Information Systems, Information Systems, or a related field
5

Hadoop Architect Resume Examples & Samples

  • Successful teamwork experience and demonstrated leadership abilities are required
  • Time management skills are a must; as well as the ability to be flexible and creative
  • Certification: Should have SE or ERP/SAP Level 1 and seeking level 2
  • Must have experience in Package Configuration
  • Should be proficient in Business Analysis, Business Knowledge, Architecture Knowledge, Technical Solution Design and Vendor Management
  • Should have baseline skills in Financial Analysis
6

Hadoop Architect / Team Manager Resume Examples & Samples

  • Serve as architect and technical lead on medium scale to large scale projects as required. This person will lead the design decisions and act as the lead on the technical aspects of the project
  • Breakdown large project into individual tasks for distribution to individual team members and offer technical guidance
  • Design and develop high-performance application designed for handling normal and Big Data
  • Identify and evaluate relevant technologies for use in the Service Quality Application
  • Solid understanding and experience in reusable java based frameworks effectively leveraging design patterns
  • Experience in the design and development of large-scale data processing systems using Hadoop/Hbase/Hive
  • Strong knowledge of SQL. Netezza experience is a plus
  • Experience in developing JDBC/Database access code
  • Understanding of common data analysis patterns and statistical inference techniques
  • Demonstrated interest and capacity to stay apprised of technology trends and resourcefulness in effectively applying them to solutions
  • Experience in data visualization. Tableau experience is highly desirable
  • Experience in the complete software development lifecycle
  • Strong analytical skills with attention to details
  • Desire and aptitude to learn new technologies such as wireless communications, shared-nothing architectures, peta-scale datasets, etc
  • Experienced and committed to delivering high-quality components using industry best-practices (e.g. test-driven development, continuous integration, code inspections, etc.)
  • Experience with cloud environments, especially AWS, and the ability to effectively resolve operational issues
  • 8+ years experience in software development
  • Bachelor's degree in engineering, computer science, or related technical discipline; additional education/training a plus
7

Hadoop Architect With Healthcare Exp Resume Examples & Samples

  • Manage scalable Hadoop virtual and physical cluster environments
  • Provide very responsive support for day to day requests from, development, support, and business analyst teams
  • Performance analysis and debugging of slow running development and production processes
  • Solid technical understanding of services such as Hbase, kafka, spark, Hive, hdfs, yarn and ambari
  • Assist with development and maintain the system documentation
  • Create and publish various production metrics including system performance and reliability information to systems owners and management
  • Isilon based hadoop experience is a plus
8

Hadoop Architect With Healthcare Experience Resume Examples & Samples

  • Install and configure monitoring tools for all the critical Hadoop systems and services
  • Work in tandem with big data developers and designs use case specific scalable supportable -infrastructure
  • Coordinate root cause analysis (RCA) efforts to minimize future system issues
  • Mentor, develop and train other systems operations staff members as needed
  • Provide off hour support as required
9

Think Big Principal Hadoop Architect Resume Examples & Samples

  • Working with Think Big engineering and data science and Customer teams to scope, size, install and configure components of the open source Big Data platform
  • Serving as an escalation point for the Think Big Managed Services teams that provide on-going operational support for Think Big’s customers
  • Working with the Think Big Operations Practice lead to develop and ensure consistent deployment of best practices across all of Think Big’s projects
  • Working with Think Big recruiting to hire additional Hadoop Administrators to facilitate team expansion
  • Supporting sales efforts scoping engagements and developing statements of work
  • Knowledge of scripting languages: bash, Perl, Python or other scripting languages
  • Knowledge and experience working with two or more of the following: Storm, Solr, Kafka, Spark, Accumulo, and Phoenix
  • Certified Hadoop Administrator (in any of the following: Cloudera, Hortonworks or MapR)
10

Hadoop Architect Resume Examples & Samples

  • Leads internal projects with medium to high complexity and risk, provides feedback on projects, and conducts post- project evaluations
  • Represents the needs of the business, function, or region on an ongoing basis to drive process improvements
  • Utilizes and assists others in utilizing standard project management and quality
  • Improvement methodologies in process improvement approaches
  • First-level university degree or equivalent experience; advanced university degree preferred
  • Typically 6-10 years of related experience in IT/business operations
  • In-depth knowledge of HP operational processes, industry trends, and customer/partner requirements
11

Hadoop Architect Resume Examples & Samples

  • Experience with R, SQL, Hadoop, and Python
  • Knowledge of data cleaning, information extraction, and predictive analysis of large data sets
  • Knowledge of using cluster and regression models
  • Ability to design and implement data analytics and data visualization
12

Hadoop Architect Resume Examples & Samples

  • Creating architectures & designs for new solutions around existing and new concepts
  • Knowledge on best practices and Architecture for Hadoop
  • Experience with Cloudera and Hortonworks
  • Hands on experience in Hadoop, Hive, Spark, HBase, Kafka and Camus
  • Masters / Bachelors Degree in Computer Science or related field
  • 5 + years of experience in RDBMS systems
  • 2+ years of Data warehouse experience
  • 14+ years of experience in software development in Java / J2EE technologies with at least 3 to 4 years of experience as an Architect
  • Must have strong experience working on Big Data / Hadoop and related technologies
  • Experience taking a leading role in building complex software systems
13

Senior Hadoop Architect / Data Scientist Resume Examples & Samples

  • Ensure that any technical risks are clearly defined and understood by the Business, Project Management and IT leadership
  • Lead efforts to capture, document, communicate and present all information pertinent to an end-to-end business solution including architecture and supporting recommendations
  • Coordinate and lead meetings to review the overall solution design and the detailed design of all components of the solution
  • Experience with batch and streaming data processing paradigms
  • Experience with Hortonworks Data Platform and Hortonworks DataFLow
  • Demonstrated ability to design Hadoop platforms and solutions
  • Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP.)
  • Hands-on experience with ETL (Extract-Transform-Load) tools (e.g Informatica.)
  • Sound knowledge of Relational Databases (RDBMS), SQL & No-SQL databases
  • Experience with agile/scrum methodologies
  • Minimum Education Requirement: High School Diploma/GED or applicable certification
14

Hadoop Architect Manager Resume Examples & Samples

  • Design and help develop ETL, replication schemes, and query optimization techniques that support highly-varied (structured, semi-structured, and unstructured) and high-velocity (near real-time) data processing and delivery
  • Ensure the data architecture is optimized for large dataset acquisition, analysis, storage, cleansing, transformation and reclamation
  • Develop standards and methodologies for benchmarking, performance, evaluation, testing, data security and data privacy
  • Recommend and set goals for unified data management practices such as meta-data management, provenance management, governance, stewardship, data quality and lifecycle management
  • Perform impact analysis, performance tuning, capacity planning for the enterprise data warehouse and its infrastructure as source systems are added and new integration business rules and logic are introduced
  • Establish and enforce policies, procedures, standards, methodologies, and metrics for data quality, metadata management, and master data management
  • Provide recommendations, technical direction and leadership for Hadoop and NoSQL technologies as part of the overall architecture
  • Participate in regular status meetings to track progress, resolve issues, mitigate risks and escalate concerns in a timely manner
  • Contribute to the development, review, and maintenance of requirements documents, technical design documents and functional specifications
  • Computer Science/Software Engineering (or related degree), or equivalent application development, implementation and operations experience
  • Working knowledge of application and system availability, scalability and distributed data platforms
  • Excellent communication skills, particularly those relating to complex findings and presenting them to ensure audience appeal at various levels of the organization
  • Ability to integrate research and best practices into problem avoidance and continuous improvement
  • Exercise independent judgment in methods, techniques and evaluation criteria for obtaining results
  • Be able to demonstrate analytical and problem solving skills
  • Strong leadership presence. Can-do attitude. Positive and proactive leadership style
  • Minimum six years of related Java and database development experience, including at least three years of experience as a Data Architect working with ‘Big Data’ technologies such as Hadoop, NoSQL, BigTable, and HBase and large data sets
  • Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads
15

Hadoop Architect Resume Examples & Samples

  • Responsible for people Management staffing, (up to SA levels) performance management, and development /coaching of team members
  • Responsible for overall motivation and morale of the group
  • Provides direction for a project team in all the project phases
  • Project Management and estimation skills
  • Good understanding of quality and Process frameworks
  • Risk analysis and mitigation skills
16

Hadoop Architect Resume Examples & Samples

  • A good degree in Computer Science or equivalent, with minimum 4 years in design and implementation of big data Hadoop ecosystem
  • Professional experience with Hadoop technologies (complete ecosystem) such as HDFS, Hbase, Pig, Zookeeper, Hive, Impala, Kafka, Yam, Flume, MapR, MapRFS/Reduce
  • Proficiency in Cloudera, Hortonworks, or MapR control systems
  • Strong knowledge on Spark and Flink
  • Experience working with integration of structured and unstructured data
  • Experience in implementing online functions and API using Hadoop
  • Experience in database sharding, replication, recovery, and performance optimizations
  • Strong knowledge in Hadoop monitoring tools
17

Hadoop Architect Resume Examples & Samples

  • Hadoop-Cloudera Distro
  • Good distributed computing
  • Networking knowledge
  • Ability to provide technical and thought leadership in the area of big data and advanced solutions
  • Someone with a bias for action & the ability to figure things out
  • Good communication & client facing presence
18

Hadoop Architect Resume Examples & Samples

  • Expertise with MapReduce ,Hive
  • Must have hands on programming experience in tools/technologies such as Hadoop/HDFS, Hive, Hbase, Spark Pig, Sqoop, Flume, etc
  • Must have worked on one or more Big Data platforms from Cloudera or Hortonworks
  • Must have experience with Spark Development using Python and/or Scala
  • Experience with real-time processing technologies such as Spark, Kafka and Storm will be big plus
  • Experience utilizing Hadoop related technologies (analytics, ETL, data discovery)
  • Experience with Apache NiFi/Hortonworks Data Flow is nice to have
  • Must have excellent communication and presentation skills
19

Hadoop Architect / Developer Resume Examples & Samples

  • 7+ years of experience in implementing Information Management and Analytics solutions and must have at least 3+ years of hands on implementation experience in Big Data technologies
  • Must have hands on programming experience in tools/technologies such as Hadoop/HDFS, Sqoop, Pig, Hive, Hbase, Flume, Yarn, MapReduce, Spark, etc
  • Must have worked on one or more Big Data platforms from Cloudera or Hortonworks,
  • Must have experience with Java/j2ee development
  • Must be able to work independently and provide technical guidance to development team
20

Hadoop Architect Resume Examples & Samples

  • Create and manage big data strategy and roadmap to influence data and LOB decision making
  • Exhibit a basic understanding of enterprise data integration technologies (e.g. extract, transform and load (ETL), enterprise application integration (EAI), enterprise information integration (EII)) and future technology direction. Provide improved data integration direction between enterprise data warehousing and transactional applications
  • Provide focus and direction to reduce data redundancy, improve data availability, and improve data quality across all technology and business applications, including data warehousing and transactional applications
  • Maintain professional contacts with other financial institutions, vendors and professional organizations concerning existing and developing data governance, data quality, data warehousing and business intelligence technologies
  • Assist with establishing rules and guidelines for data architecture, data warehousing, data integration and data confidentiality
  • Assist with establishing a process for the use of data architecture frameworks to include business data management, business intelligence, data quality and data usage
  • Participate in architecture reviews of applications as part of the project lifecycle
  • Ensure that data governance processes are established and integrated in existing systems as well as in the formation of new and revised systems
  • Deep understanding and experience with Hadoop ecosystem. Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand
  • Experience in working with a Big Data installation in production environment with major distributions
  • Hands-on experience with large scale Big Data environments capacity planning, performance tuning and monitoring
  • Experience in Java, Spark, Map Reduce, RDBMS, Hive/Pig, Scala, Linux/Unix technologies
  • Sound knowledge of relational databases (SQL) and experience with large SQL based systems
  • Strong IT consulting experience in various data warehousing engagement, handling large data volumes, architecting big data environments
  • Deep understanding of algorithms, data structures, performance optimization techniques and software development in a team environment
  • Benchmark and debug critical issues with algorithms and software as they arise
  • Lead and assist with the technical design/architecture and implementation of the Bigdata cluster in various environments
  • Able to configure/optimize the cluster for various workloads
  • Able to understand Hadoop cluster administration concepts
  • Exposure to ETL tools e.g. Informatica, NoSQL and knowledge of Netezza a plus
  • Bachelor’s degree in information technology-related field, or equivalent education and related training
  • Eight to ten years of experience in data management and enterprise data warehousing practices
  • Sound skills in ETL, EAI, EII, metadata, reference data, data warehousing, transactional/operational data stores, data quality and business intelligence
  • Sound interpersonal and communication skills, and the ability to work effectively with a wide range of constituencies in a diverse business community
  • Sound project, process and program management skills
21

Hadoop Architect Resume Examples & Samples

  • Perform systems administration of desktop and server systems connected to local and wide area networks. Desktop system management responsibilities involving account monitoring, security, Operating System (OS) installation, and other local area system administration related functions
  • Provide support for implementation, troubleshooting and maintenance of IT systems
  • Manage IT systems infrastructure and any processes related to these systems
  • Provide support to IT systems including day-to-day operations, monitoring and problem resolution for all of the client/server/storage/network devices, mobile devices, etc
  • Provide Tier 1 and Tier 2 problem identification, diagnosis and resolution
  • Provide support for the escalation and communication of status to agency management and internal customers
  • Provide support for the dispatch system and hardware problems and remain involved in the resolution process
  • Install/load operating system and application software
  • Isolate and resolve hardware and software problems involving the applications, the operating system, the hardware, the communications infrastructure, or any combination thereof
  • Troubleshoot, maintain integrity and configure network components along with implementing operating systems enhancements to improve reliability and performance
  • Integrate new technologies into new and existing systems including the transition and migration of corporate systems
22

Hadoop Architect Resume Examples & Samples

  • Act as an interface between the Business SMEs / Vertical Team and Cognizant Offshore team as an onsite Coordinator
  • Responsible for customer expectation management
  • Understanding & gathering all the business related definitions for entities & attributes
  • Identify different subject areas & map the entities accordingly into them
  • Identify and annotate any discrepancies discovered
  • Minimum 10+ years of IT experience development with regard to Big Data Platform in must
  • Candidate should have thorough understanding of Hadoop Big Data platform
  • Experience in working with Hadoop data ingestion (Flume, Kafka, etc.) and some experience with Hive SQL, Query drill, etc
  • Work with Architect and establish frameworks either reuse or build new
  • Define ingestion patterns, help with curation and consumption
  • Excellent communication, presentation skills
23

Senior Hadoop Architect Resume Examples & Samples

  • Perform detailed systems and data analysis in order to provide high quality and detailed open source tools and Hadoop big data platform architecture designs. Performs cost, benefit and ROI analysis ensuring the closest involvement with, and agreement from, the user & technical community. Aligns to corporate architectures and standards
  • Conducts distributed computing data analysis activities and data prototypes against source systems, 3rd party products, or data that resides within Quintiles business intelligence solutions to confirm data quality, prove concepts, determine if data is fit for purpose and inform accurate solution architecture and solution development
  • Develops data models that supports business needs of data oriented solutions
  • Serves as top level technical expert on large, complex big data projects
  • Designs, codes, tests for tracks/modules in projects under limited supervision. This role is expected to be a highly motivated, experienced java software engineer
  • Performs peer reviews of work products such as architecture designs/patterns, code design, and overall solutions with regard to IT standards, procedures, and ability to achieve business objectives
  • Performs long-term evaluations of systems, databases, and solutions for security risks. Considers innovative methods and designs to continuously improve our technical capabilities / solutions
  • Defines and documents data standards to be performed, data enrichment operations, data validations, data security requirements, and data exception handling processes
  • Performs data profiling on big data distributed computing environments, relational databases and XML
  • Facilitate and/or participate in joint analysis and design sessions to understand needs of the customer / project
  • Collaborate with developers to ensure adherence to business requirements, technical designs, and customer needs
  • Resolves conflicting end-user technical requirements
  • Conducts root cause analysis on systems and database issues throughout the life cycle of the project
  • Follow QuintilesIMS System Life-Cycle (SLC) and Computer System Validation (CSV) procedures, as appropriate. Works within an agile software engineering methodology / collaborative multi-office team development architecture
  • Model processes to clarify technical designs, and to enhance or re-engineer business processes, prior to, or in parallel with, solution design and implementation, as necessary
  • Produce and review data/information models and preliminary system architecture, as needed
  • Exhibit confidence and an extensive knowledge of emerging industry practices when solving business problems
  • Develop training and support programs for global technology and process implementations, as needed. Continuous learning is key to success in this position
  • Mentors junior team members in training and developing technical expertise
  • 2+ years of hands-on production level experience with Hadoop eco-system, including Spark, OOZIE, Hive, HDFS, Yarn etc
  • 7+ years’ experience in application development using Java technologies
  • Proficiency in one or more of the following: J2EE Technologies, RDBMS system, (Oracle, SQL Server), SOA
  • Familiarity with one of more of the following SQL, PL/SQL, TSQL, Sharepoint, Eclipse, Ant, JSP/Servlets, JDBC, JavaScript, Apache, Tomcat and test driven development using JUNIT and XML. .Net software experience and/or willingness to learn is a strong plus for this position
  • Experience with data science, data analytics and machine learning within Hadoop platform
  • System Lifecycle Methodology experience with Computer Systems Validation a must
  • Flexibility, ability to learn, and ability to working within in a collaborative fast-paced software engineering team environment
  • Self-driven and motivated individual that takes pride in the development of high quality, on time, within budget projects
  • Familiarity with SCRUM agile development methodology is desirable
  • 10 + years’ experience with applicable tools, including database access
  • Bachelor’s Degree in computer science or related discipline or equivalent experience
  • Master’s Degree in computer science, data science, data analytics or related discipline or equivalent experience
  • Experience with the clinical drug development life sciences industry, procedures, and regulatory standards
  • Additional proficiency in web services and data services development is a plus
  • Prior experience with Data Warehousing tools/applications
24

Hadoop Architect Resume Examples & Samples

  • 6+ years' experience as a Solution Architect in large scale data warehouse environments
  • Proven understanding and related experience with Yarn, Hadoop, Spark, Hive, Pig, Sqoop, Flume, Hbase and Map/Reduce
  • Hands-on experience with related /complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP)
  • Hands-on experience with ETL (Extract-Transform-Load) tools (e.g Informatica)
  • Hands-on experience with BI tools and reporting software (e.g. OBIEE, Tableau)
  • Experience with agile / scrum methodologies