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Position Details: Data Engineer -(873250E)

Location: Beaverton, OR
Openings: 1
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Project Description:

If you’re ready to innovate and become part of our Enterprise Data organization, come join us now! You will be part of an organization that is revolutionizing Nike technology platforms and architecting a data and analytics landscape that is simplified, modern, flexible and will ultimately enable Nike on its journey to 2020 and beyond. As a Data Engineer within the North America Merchandising Business Operations team, you will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise data & analytics capabilities across Nike. Primary Responsibilities: • Good understanding and application of modern data processing technology stacks. For example, Snowflake, SQL, Spark, Hadoop ecosystem technologies, and others • Design and build product features in collaboration with business and IT • Design reusable components, frameworks, libraries like User Defined Functions • Build continuous integration and test-driven development environment • Performance/scalability tuning, algorithms and computational complexity • Develop architecture and design patterns to process and store high volume data sets • Participate in an Agile / Scrum methodology to deliver high - quality software releases every 2 weeks through Sprints • Troubleshoot production support issues post - deployment and come up with solutions as required • A Bachelor's degree in Business, Information Technology or related field • 2+ years’ experience in a professional organization collaborating across multiple functions • Familiarity with Agile project delivery methods • Experience with AWS components and services (E.G. EMR, S3, and Lambda) • Experience with Jenkins, Bitbucket/GitHub and scheduling tools like Airflow • Strong programming, Python, shell scripting and SQL • Good understanding of file formats including JSON, Parquet, Avro, and others • Experience with data warehouses/RDBMS like Oracle, Teradata, Snowflake • Experience with data warehousing, dimensional modeling and ETL development • Demonstrable ability to quickly learn new tools and technologies • Machine learning frameworks & statistical analysis with Python, R or similar • Exceptional interpersonal and communication skills (written and verbal) • Passion for data with demonstrated ability to use data to tell a story and influence decision making • Detail oriented with strong information seeking skills Competencies: • Effective Communicator • Broad Business Process and Systems Understanding • Analytical and Focused • Strategic Thinking and Tactical Execution • Continuous Learner

As a Data Engineer within the North America Merchandising Business Operations team, you will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise data & analytics capabilities across Client.

Primary Responsibilities:

• Good understanding and application of modern data processing technology stacks. For example, Snowflake, SQL, Spark, Hadoop ecosystem technologies, and others
• Design and build product features in collaboration with business and IT 
• Design reusable components, frameworks, libraries like User Defined Functions
• Build continuous integration and test-driven development environment
• Performance/scalability tuning, algorithms and computational complexity
• Develop architecture and design patterns to process and store high volume data sets
• Participate in an Agile / Scrum methodology to deliver high - quality software releases every 2 weeks through Sprints
• Troubleshoot production support issues post - deployment and come up with solutions as required

 

• A Bachelor's degree in Business, Information Technology or related field
• 2+ years’ experience in a professional organization collaborating across multiple functions
• Familiarity with Agile project delivery methods
• Experience with AWS components and services (E.G. EMR, S3, and Lambda)
• Experience with Jenkins, Bitbucket/GitHub and scheduling tools like Airflow
• Strong programming, Python, shell scripting and SQL
• Good understanding of file formats including JSON, Parquet, Avro, and others
• Experience with data warehouses/RDBMS like Oracle, Teradata, Snowflake
• Experience with data warehousing, dimensional modeling and ETL development
• Demonstrable ability to quickly learn new tools and technologies 
• Machine learning frameworks & statistical analysis with Python, R or similar
• Exceptional interpersonal and communication skills (written and verbal)
• Passion for data with demonstrated ability to use data to tell a story and influence decision making
• Detail oriented with strong information seeking skills
Competencies:
• Effective Communicator
• Broad Business Process and Systems Understanding
• Analytical and Focused
• Strategic Thinking and Tactical Execution
• Continuous Learner

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