Senior Data Engineer
Nike
Senior Data Engineer needed for NIKE USA, Inc., located in Beaverton, OR. Design and implement data products and features in collaboration with product owners, data analysts, and business partners. Work with a variety of teammates to build first-class solutions for NIKE technology and its business partners, working on development projects related to supply chain, commerce, consumer behavior and web analytics among others. Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes. Research, evaluate and utilize new technologies/tools/frameworks centered around high volume data processing. Responsible for the evaluation of technical feasibility or risks and conveying that information to the team. Translate backlog items into engineering design and logical units of work. Profile and 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. Work with architecture, engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to. Anticipate, identify and solve issues concerning data management to improve data quality. Build and incorporate automated unit tests and participating in integration testing efforts. Utilize and advance continuous integration and deployment frameworks. Troubleshoot data issues and performing root cause analysis. Work across teams to resolve operational and performance issues. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.
Applicant must have a Master’s degree in Computer Science, Computer Information Systems, or Information Management and 2 years of experience in the job offered or a computer related occupation. Experience must include:
1. Big data;
2. Spark;
3. SQL;
4. Data warehouse;
5. Big Data Pipelines;
6. Python programming;
7. Airflow; and
8. AWS..
Apply at www.jobs.nike.com (Job \#[INSERT JOB REQ#].).
\#LI-DNI
NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 503-671-4156 and let us know the nature of your request, your location and your contact information.
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