Job Specifications
Work options: Remote
Remote, US (PST hours required)
Title: Data Engineer 4
Location: Remote, US
Duration: 9 Month Contract
NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
What You Will Do
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
What You Will Need
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
Programming experience, Python or Scala preferred.
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
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
Who We Are Looking For
These are the characteristics that we strive for in our own work. We would love to hear from candidates who embody the same:
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
About the Company
NIKE, Inc. is a purpose-driven organization energized by a shared commitment to move the world forward through the power of sport. We champion diversity and amplify individual passions to bring inspiration and innovation to every athlete* in the world.
Here, every teammate has a role to play. We work together, embracing our differences and pushing boundaries, to achieve collective success. For more information on how you can contribute to a world-class team, visit our career site at nike.com/careers and join our talent co...
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