Nike is looking to improve its data management and analytics capabilities by developing and implementing scalable data engineering solutions.
Requirements
- Data structures & Algorithms
- Data Modeling, Data Warehousing, Snowflake
- Python, Java, SQL
- Spark, Databricks
- CI/CD, Jenkins, Terraform
- Docker
- ETL pipelines, Airflow, AutoSys
Responsibilities
- Develop architecture and designs patterns to process and store high volume data sets
- Design, code and test plan reviews developed by other data engineers in support of maintaining data engineering standards
- Craft and build reusable components, frameworks and libraries at scale to support analytics products
- Implement automated workflows and routines using workflow scheduling tools
- Build continuous integration, test-driven development and production deployment frameworks
- Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues
- Deliver high-quality software releases
Other
- Must have a Master’s degree in Computer Science, Engineering, or System Sciences, and 2 years of experience in the job offered or in a Engineer-related occupation
- Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY
