Data Engineer 5

Nike is hiring a Data Engineer 5 to build and support data products, distributed processing pipelines, and frameworks for large-scale data. The role also contributes to architecture and technology evaluations, testing and deployment practices, and troubleshooting operational and performance issues.

Responsibilities:

• Contribute to 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
• Contribute to evaluation of new technologies/tools/frameworks centered around high-volume data processing
• Translate product backlog items into logical units of work in engineering
• 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
• Work with engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and followed
• Build and incorporate automated unit tests and participate in integration testing efforts
• Utilize and advance continuous integration and deployment frameworks
• Troubleshoot data issues and perform root cause analysis
• Work across teams to resolve operational & performance issues

Requirements:

• Bachelor's degree in Computer Science, or related technical discipline
• 10+ years of experience in large-scale software development, 5+ years of big data experience
• Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc
• Experience with messaging/streaming/complex event processing tooling and frameworks
• Experience with data warehousing concepts, SQL and SQL Analytical functions
• Experience with workflow orchestration tools like Apache Airflow
• Experience with source code control tools like Github or Bitbucket
• Ability to communicate effectively, both verbally and written, with team members
• Interest in and ability to quickly pick up new languages, technologies, and frameworks
• Experience in Agile/Scrum application development
• Demonstrate Experience in working the AI and Machine learning
• Experience in delivering LLM based Databricks Apps on tools similar to Genei
• Desire to work collaboratively with your teammates to come up with the best solution to a problem
• Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
• Excellent problem-solving and interpersonal communication skills
• Strong desire to learn and share knowledge with others
• Programming experience, Python or Scala preferred
• Experience with Java
• Experience working in a public cloud environment, particularly AWS, databricks
• Experience with cloud warehouse tools like Snowflake
• Experience working with NoSQL data stores such as HBase, DynamoDB, etc
• Experience building RESTful API's to enable data consumption
• Experience with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI
• Experience with practices like Continuous Development, Continuous Integration and Automated Testing
• Finance domain expertise will be nice to have