Data Engineer 5
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Summary
Designs and builds scalable data pipelines and frameworks to process large datasets, ensuring data quality and enabling analytics at Nike.
- Build distributed data-processing pipelines
- Create user defined functions and libraries
- Design and implement data products
- Develop automated unit tests and integration tests
- Develop large scale data processing frameworks
- Evaluate new big data technologies
- Implement data quality and engineering best practices
- Resolve operational and performance issues across teams
- Translate backlog items into engineering work
- Troubleshoot data issues and perform root cause analysis
- Use continuous integration and deployment frameworks