Advanced Engineer, Hadoop Data Integration

GameStop   •  

Grapevine, TX

5 - 7 years

Posted 231 days ago

This job is no longer available.

Summary of Duties:

  • Develop and produce project documentation to ensure consistent results across all projects.
  • Serve as a technical expert for on-shore and off-shore delivery teams in all aspects of data integration including

ETL, data movement, data replication and data distribution.

  • Provide technical expertise for solution development and review with regard to data integration architecture

design and implementation for initiatives with the enterprise.

  • Develop and drive the review and approval of data integration specific solution definitions through the enterprise

architecture review process.

  • Collaborate with the data modelers, business intelligence architects, business analysts and data subject matter

experts regarding integration standards and best practices that meet the needs of the business.

  • Collaborate closely with solution architects regarding effective and efficient solutions to business challenges and


  • Collaborate closely with enterprise architecture regarding the alignment of the EDW, CDW, ODS and
  • Master Data Management for proper integration of data across the entire enterprise.
  • Perform code reviews and audits in accordance with design objectives and standards for data integrations.
  • Recommend key technologies, features, and toolsets to use.
  • Identify and document any procedural gaps that may exist and propose solutions.
  • Assist with otherinformation technology projects, as assigned, within the general scope of regularly assigned

responsibilities and related qualifications.

  • Support escalated production support issues in assigned areas.


Bachelor's degree in Information Technology, Computer Science, Computer Engineering or a closely related field of study and 5 years of experience in the job offered or closely related occupation with:

  • Big Data ETL Hadoop Stack;
  • Dynamo DB;
  • Amazon S3 Services;
  • PIG development;
  • Hive development;
  • Flume development;
  • Spark development;
  • ETL Tools;
  • Informatica;
  • SSIS, Snaplogic;
  • Waterfall or Agile; and
  • SQL development.