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Über
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. 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: Snowflake AWS Native Services Oracle DB2 MS SQL Server MS SSIS Attunity Apache Airflow Python Confluence Tableau GitHub DataBricks Jenkins 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.
Sprachkenntnisse
- English
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