Data Engineer II

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Job Description

What You'll do:

  • Responsible for defining the Source of Truth (SOT), Dataset design for multiple Uber teams.
  • Identify unified data models collaborating with Data Science teams
  • Streamline data processing of the original event sources and consolidate them in source of truth event logs
  • Build and maintain real-time/batch data pipelines that can consolidate and clean up usage analytics
  • Build systems that monitor data losses from different sources and improve the data quality
  • Owns the data quality and reliability of the Tier-1 & Tier-2 datasets including maintaining their SLAs, TTL and consumption
  • Devise strategies to consolidate and compensate the data losses by correlating different sources
  • Solve challenging data problems with cutting-edge design and algorithms.

What you'll need:

  • 4+ years of extensive Data engineering experience working with large data volumes and different sources of data.
  • Strong data modeling skills, domain knowledge, and domain mapping experience.
  • Strong experience in using SQL language and writing complex queries.
  • Experience with using other programming languages like Java, Scala, Python
  • Good problem-solving and analytical skills
  • Good communication, mentoring, and collaboration skills.
  • Extensive experience in data engineering and working with Big data
  • Experience with ETL or Streaming data and one or more of, Kafka, HDFS, Apache Spark, Apache Flink, Hadoop
  • Experience backend services and familiarity with one of the cloud platforms ( AWS/ Azure / Google Cloud)

Company Info.


Uber, is an American mobility as a service provider based in San Francisco, with operations in over 900 metropolitan areas worldwide. Its services include ride-hailing, food delivery (Uber Eats and Postmates), package delivery, couriers, freight transportation, electric bicycle and motorized scooter rental via a partnership with Lime, and ferry transport in partnership with local operators. Uber does not own any vehicles.

  • Industry
    Automotive,Autonomous technology
  • No. of Employees
  • Location
    San Francisco, CA, USA
  • Website
  • Jobs Posted

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