Nike-posted 3 months ago
Senior
Remote • Memphis, TN
Apparel Manufacturing

Become a Part of the NIKE, Inc. Team. NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game. Senior Data Engineer - NIKE RETAIL SERVICES INC.- Memphis, TN. Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology. Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes. Evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing. Translate product backlog items into engineering designs and logical units of work. Analyze data for the purpose of designing scalable solutions. Define and apply appropriate data acquisition and consumption strategies for given technical scenarios. Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem. Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns. Implement complex automated routines using workflow orchestration tools. Anticipate, identify and tackle issues concerning data management to improve data quality. Build and incorporate automated unit tests and participate in integration testing efforts. Telecommuting is available only in AR, MS, and TN.

  • Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology.
  • Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes.
  • Evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing.
  • Translate product backlog items into engineering designs and logical units of work.
  • Analyze data for the purpose of designing scalable solutions.
  • Define and apply appropriate data acquisition and consumption strategies for given technical scenarios.
  • Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem.
  • Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns.
  • Implement complex automated routines using workflow orchestration tools.
  • Anticipate, identify and tackle issues concerning data management to improve data quality.
  • Build and incorporate automated unit tests and participate in integration testing efforts.
  • Must have a Master's degree in Computer Science, Computer Engineering or Applied Computer Science.
  • 2 years of experience in the job offered or a computer-related occupation.
  • Experience with Snowflake.
  • Experience with AWS Native Services.
  • Experience with Oracle.
  • Experience with DB2.
  • Experience with MS SQL Server.
  • Experience with MS SSIS.
  • Experience with Attunity.
  • Experience with Apache Airflow.
  • Experience with Python.
  • Experience with Confluence.
  • Experience with Tableau.
  • Experience with GitHub.
  • Experience with DataBricks.
  • Experience with Jenkins.
  • Generous total rewards package.
  • Casual work environment.
  • Diverse and inclusive culture.
  • Electric atmosphere for professional development.
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