Senior Data Engineer - NIKE USA Inc. - Beaverton, OR. 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 from anywhere in the U.S., except from SD, VT, and WV.
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Must have a Master's degree in Computer Science, Computer Engineering or Applied Computer Science and 2 years of experience in the job offered or a computer-related occupation. Experience must include:
- Tableau
- Cognos
- Oracle
- SQL Server
- Data Warehousing
- Snowflake
- Power BI
- Python
- Informatica
- Alteryx
- DataStage
- Tableau Prep
- ThoughtSpot
Apply at www.jobs.nike.com (Job# R-47122)
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We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.