Data Engineer- Ad Tech Company

NeoHire South - Irvine, CA

Our client is a premier people-based advertising technology company, enabling marketers to plan, execute and measure their digital media investments through a cloud-based platform. Built on a foundation of people instead of cookies, their advertising cloud provides marketers with access to over 1.2 billion registered users, one of the largest registered user databases in the world, infusing accuracy, reach and accountability into cross device advertising. Founded in 1999, our client owns and operates several leading digital ad technology and media companies. In 2016, our client became a subsidiary of Time Inc. (NYSE:TIME), one of the world’s leading media companies with over 100 influential brands including People, Sports Illustrated, Fortune and Time.

Senior Data Engineer

We are looking for a Senior Data Engineer for our Irvine, CA headquarters to join our Engineering team. This Senior Data Engineer will work on the Identity Management Platform product of our proprietary Ad Cloud. This position is ideal for someone with strong knowledge in Big Data Systems, working with distribution and storage in multi-threaded environments.

Responsibilities

  • Design and implement Big Data systems for batch and stream processing and fast analytics
  • Design and implement dimensional data models that scales
  • Partner with data scientists and analysts to explore structured and unstructured data to leverage business insights
  • Define and build scalable ETL workflows for reporting and analytics

Requirements

  • Strong experience in Java and multiple threads/concurrency program paradigm
  • Deep understanding of crunching/SQL over very large data sets, as well as related technologies (Google BigQuery, Google cloud storage, Spark, Mapreduce-like systems)
  • Experience working in a fast-paced environment
  • Experience with ETL tools or working on ETL processes
  • Good sense of humor

DesirableSkills

  • Experience with cloud computing: GCE or AWS technologies
  • NoSQL databases (like HBASE, Cassandra, MongoDB)
  • Infrastructure tools like fabric/Capistrano/Puppet/Chef and monitoring tools like Splunk / Nagios

Education

  • Bachelor's and/or Master's degree in computer science. PhD is a plus (or equivalent industry experience)



Posted On: Wednesday, March 9, 2016



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