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About the Role:

  • Build a scalable, reliable, operable and performant big data workflow platform for Uber's data scientists/engineers, AI/ML engineers, and operations folks.
  • Drive the usage of Freight's data model across the organization with multiple product teams.
  • Design and implement data integration services, best practices and reusable frameworks.

Qualifications:

  • Bachelor's Degree (or higher) in Computer Science and related fields
  • 2+ years of software development experience
  • Previously worked on data processing and ETL, hands on building pipelines and workflow framework through Hive, Presto, Spark etc.

Responsibilities:

  • Proven experience in data warehousing architecture and data modeling.
  • Demonstrated experience working collaboratively in cross-functional teams.

Uber Freight

Uber Freight is an enterprise technology company powering intelligent logistics with end-to-end logistics applications, managed services, and an expansive carrier network. Today, the company manages nearly $20B of freight, has one of the largest networks of carriers and is backed by best-in-class investors.

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