Senior Data Engineer

Senior Data Engineer

This job is no longer open

About the Role:

In this Data Engineering role, you will help us build out a new team of product-focused data engineers. As the most senior member on this new team, you will work closely with one of our data product verticals, setting the culture, best practices, and expectations for how your new team's data engineers will work with our different product verticals. Tubi has many data-hungry product verticals you may work with, including Performance Marketing, Growth Marketing, User Identity, Ad Tech, Content Analytics, Content Acquisition, and more. As the senior engineer on the team, you will also mentor and help newer engineers along the way. Each product team you will work with has unique data challenges, all revolving around massive datasets, so you should be adaptable, curious, and have a solid foundation in big data and engineering fundamentals. You will do everything from building efficient pipelines, helping data scientists and analysts get the data they need, and even build out specific data products to help non-engineering teams get better insight into their unique datasets.

Your Responsibilities:

  • Be the primary owner of the data needs of a specific product vertical. That means everything from raw data ingestion to end-user analysis
  • Build intuitive, easy-to-use, and high-quality datasets using Spark and/or DBT
  • Track down data quality issues when they arise, and then set appropriate data quality monitors and alerts to help prevent future incidents
  • Participate in the occasional on-call rotation (12-hr shifts, ~1/week)
  • Really understand your product vertical's datasets, with an ability to document and educate your team on how certain tables / fields are meant to be used
  • Be the liaison between your product vertical and the core data infrastructure team to make sure business needs are met in a computationally efficient manner

Your Background:

  • 7+ years of data engineering experience building scalable, flexible, and always-on data pipelines
  • Strong experience using SQL, Python and/or Spark for data manipulation
  • Experience with efficiently working with datasets at TB scale
  • Familiarity with Databricks, DBT, Redshift, and AWS in particular is helpful
  • A passion for shipping production quality code with good test coverage

Benefits of Joining Our Team:

  • Working with a talented, tight-knit team of passionate people with the mandate to make premium content accessible to everyone
  • Use the latest data engineering technologies and techniques to solve engineering problems at petabyte-scale
  • Autonomy and end-to-end ownership of what you create
  • Your choice of hardware to work with
  • Opportunity for internal growth
  • Work with other fellow AVOD enthusiasts
  • We offer competitive pay, equity, full medical, dental & vision benefits, catered meals, gym subsidies, open vacation policy, and more

#LI-Remote #LI-MQ1

This job is no longer open
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