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DoubleVerify // digital media measurement software & analytics
Engineering, Full Time    New York    Posted: Wednesday, June 12, 2019
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About the Company

DV is the leader in digital performance solutions, improving the impression quality & audience impact of digital advertising. Built on best practices, DV solutions create value for media buyers & sellers by bringing transparency & accountability to the market, ensuring ad viewability, brand safety, fraud protection, accurate impression delivery & audience quality across campaigns to drive performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most value out of their media spend by delivering best in class solutions across the digital ecosystem that help build a better industry. Headquartered in New York City, DoubleVerifys investors include JMI Equity, Institutional Venture Partners, Blumberg Capital, First Round Capital, & Genacast Ventures. Learn more at

Position Overview

As a Data Engineer, you will be designing & implementing systems that crunch & process billions of records a day & make them available in DoubleVerifys analytics platform, helping our clients to make smarter decisions that continuously improve their ad-impression quality.

What do you do?

  • Develop ETL processes that process billions of records a day efficiently
  • Build scalable infrastructure for stream processing as well as batch jobs
  • Perform Data Analysis & ensure integrity through automated validation processes
  • Optimize processes run-time & solving problems in a scalable manner
  • Take full ownership of designing, building, & deployment of data products
  • Analyze data to test the correctness & effectiveness of ETL processes by automation & monitoring tools

Who you are?

  • You care about agile software processes, data-driven development, reliability, & responsible experimentation
  • You are passionate about crafting clean code & have a steady foundation in coding & building data pipelines
  • You have hands-on development experience in python & Scala
  • You have a genuine desire to automate processes & workflows
  • You have experience working with Kafka. Confluent platform (Kafka Connect, Schema Registry)
  • You have experience in one or more of the following technologies: Hadoop, Spark, Hive, Pig
  • You have outstanding SQL query writing abilities & data understanding
  • You have B.S/M.S in Computer Science or a related field
  • You have proven hands-on experience in data applications development (ETL, MR) at scale in the Hadoop ecosystem.
  • You have excellent communication skills & a team player

Extra Credit:

  • You have experience with Vertica or other columnar data stores
  • You have hands-on experience with Spark Streaming or other live stream processing technology
  • You have worked with Google Cloud Platform or other cloud environments
  • You have worked with Containers - Docker, Kubernetes
  • Experience in AdTech Domain
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