Data Engineer
London, England, United Kingdom
2d ago


The Identity team at LiveRamp has a burning passion for building the best Identity Resolution capabilities in the world.

You will be a driver of innovation, creating our newest product which enables clients to leverage our expertise in identity graphs for their own first party data.

This platform will provide our customers with a technology to ingest millions of fragmented records and apply data science techniques to create massive, heterogeneous graphs.


  • Contribute to a big data processing system that churns through millions of records to create a market-leading identity resolution graph.
  • Be comfortable evaluating and adapting to the latest tools and industry best practices.
  • Be an expert at identifying patterns in data and know how to leverage your expertise to maximize data value.
  • Design with privacy and security-first principles.
  • Have a startup personality and enjoy working as part of a team : smart, ethical, friendly, hard-working, and productive.

  • Enable configuration-driven workflows that automate batch and streaming-based processing on top of Identity Resolution services and assets.
  • Provide an orchestration platform for complex graph builds using the latest open source and cloud native technologies.

  • Have 5+ years of experience writing and deploying production code.
  • Proficient in Java and / or Python.
  • Proficient with data processing platforms such as Hadoop, Spark, or cloud native services such as Google Cloud Platform BigQuery.
  • Work well as an individual and as part of a team that excels at collaboration and holds each other accountable to the highest standards.
  • Strong ability to abstract complex problems into their essential components and design and implement elegant solutions for them.
  • Are a data enthusiast who wants to be surrounded by brilliant teammates and huge challenges.

  • Experience with Data Analytics Platform technologies like CDAP.
  • Experience with designing and implementing interfaces and infrastructure for large volume services and APIs.
  • Exposure to Machine Learning.
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