Data Engineer, Marketing

Hulu - Santa Monica, CA

Posted 12 days ago

Hulu is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, Hulu has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we’re looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what Hulugan life is all about.


SUMMARY


At Hulu, data is essential for all our decision-making needs whether it’s related to product design, measuring advertising effectiveness, helping users discover new content or building new businesses in emerging markets. This data is deeply valuable and gives us insights into how we can continue improving our service for our users, advertisers and our content partners. Our data team is seeking a hardworking data engineer with a strong technical background and is passionate about diving deeper into hybrid data environment to develop state of the art data analytics solutions.


WHAT YOU'LL DO

  • Collaborate with data product managers, data architects, and data engineers to design, implement and deliver successful data solutions
  • Define technical requirements and implementation details for the underlying data warehouse and data marts
  • Develop and optimize performant database, data model, integration and ETL in RDBMS and NoSQL environments
  • Maintain detailed documentation of your work and changes to support data quality and governance
  • Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers
  • Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team


WHAT TO BRING

  • Experience working with large data systems
  • Proven experience with at least one major RDBMS (SQL Server, MySQL or Oracle)
  • Solid experience with data integration toolsets and writing and maintaining ETL jobs
  • Expert level experience with SQL/TSQL and ability to create and tune queries
  • Programming (Java/C# or related) and scripting skills (Python/JS) helpful
  • Agile and Scrum experience
  • Experience with MapReduce or other Hadoop implementations – associated understanding of Hive, Pig or Spark to query and process data in Hadoop, a huge plus.
  • Strong attention to detail with excellent analytical, problem-solving, and communication skills
  • Bachelor’s or Master’s Degree in Computer Science, Information Systems or related field


NICE-TO-HAVES

  • NoSQL experience
  • Experience with cloud solutions (AWS, Redshift, Snowflake, other)
  • LI-AC1
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