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About the Role
This person will be responsible for builing batch Query Service from scratch. This query service enables users to query peta bytes scale of data residing in big data lake. He will lead the project along with a team of ~2 engineers. This team will leverage Big Data platforms available at Uber and collaborate closely with teams with in and outside Uber (open source community).
What You’ll Do
Build a scalable, reliable, operable and performant Big data analytics platform for Uber’s engineers and operations folks.
Work alongside the pioneers of big data systems such as Hive, Yarn, Spark to build out a highly reliable Batch Query service for Uber’s bulk data analytics needs and Machine Learning applications.
Hack on open source analytical SQL engine to provide access to 100s of PB of data.
Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.
What You’ll Need
5 Minimum Years of Experience with Backend Engineer, Big Data Engineer, Large Scale Platform Developer
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.