Open Opportunity

Sr. Data Engineer

Novato, CA

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Great opportunity with a flat, entrepreneurial, and non-corporate studio work environment. We have a proven track record having shipped over 100 multi-SKU titles to great critical acclaim.
Working on one of the Worlds top games and gaming environments committed to gaming and technical innovation and offer top candidates the opportunity to learn and grow with some of the smartest and most creative minds in the industry.

What We Need:

We are looking for a Senior Data Engineer to be part of our growing data engineering team within our analytics group. Collaborate with cross-functional teams, studios, external data provides to architect, design and develop a metadata driven data pipeline framework focusing on reusability, scalability, and productivity. S/he will work with data analysts and data scientists to understand data requirements, design and develop data pipelines to ingest data from multiple disparate sources.
It’s a once in a lifetime opportunity to be part of a great team chartered to define the future of data and analytics platform.
This position will be reporting directly to the Director of Data Engineering, located at our Novato office.

What You Will Do:

  • Actively contribute to the architecture and design of data platform and data engineering practice
  • Design and develop a data pipeline framework for ingesting structured and unstructured data
  • Work with the game, marketing, and analytics teams to gather requirements, build, test, and deploy new data pipelines based on business requirements
  • Translate data and BI requirements into technical design documents and data mapping documents
  • Mentor junior engineers and be part of their career growth

Who We Think Will Be a Great Fit:

If you have experience building large scale data solutions, are interested in taking up another challenge to shape the future of data and platform capabilities in a fast-paced environment, we think you will be a great fit and we’d love to hear from you!
  • 5+ Years of experience in developing near real-time data pipelines
  • Strong hands-on experience with object-oriented/object function scripting languages: Python[Preferred], Java, Scala, etc.
  • Expert knowledge in Data warehouse concepts and implementation of Dimensional and star models
  • Experience with data pipeline and workflow management tools: Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, Kinesis, RDS
  • Prior Implementation Experience with stream-processing systems: Storm, Kafka, Spark-Streaming etc.
  • Proficient using Source Control, build and deploy tools like perforce/Git and Jenkins
  • Strong project management, organizational and interpersonal skills