Data Engineering Manager - Ads

Data & Analytics | Seattle, WA

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

Hulu's Data team is seeking a Data Engineering Manager who will be an outstanding addition to our growing team. As a Data Engineering Manager at Hulu, you will be responsible for leading a team of software developers and data engineers to deliver high-quality scalable enterprise data solutions and data services that meet data, reporting and analytical needs of Hulu's advertising business. We run one of the largest video ad serving systems on the Internet, with thousands of advertisers and over a billion ads served per month! Are you passionate about providing leadership and technical skills to develop and implement data governance, data integrity, data engineering standards, data integration, and QA standard methodologies? If you are someone who eats, sleeps and breathes data and has a deep passion for helping Hulu make data-driven decisions, then this is a great role for you!

WHAT YOU'LL DO

  • Lead software developers, data engineers, data modeler, and QA to deliver on data solution and services, data warehouse and data marts for Ads business vertical
  • Lead database development, data modeling, integration and ETL in RDBMS and NoSQL environments
  • Develop software engineering standard methodologies, guidelines, procedures, and repeatable and scalable frameworks
  • Collaborate and partner with data product managers to understand roadmap and ensure timely delivery and acceptance of features and solutions
  • Ensure operational and delivery efficiency
  • Lead the agile/scrum practice to ensure heath and process improvements for your team
  • Collaborate with data and solution architects to implement high-quality, performant, scalable data architecture and information management framework
  • Document, automate and enforce data quality, data integrity, and QA standard methodologies
  • Manage prioritization and allocation of resources to optimize delivery
  • Coach and mentor junior members of the team and provide the best data practices for data analysts

WHAT TO BRING

  • Proven leadership skills and ability to build and develop teams
  • Go-getter with a bias to action and a passion for delivering high-quality data solutions
  • Attention to detail and quality with excellent problem solving and communication skills
  • Knowledge of SDLC, data engineering, data modeling, data warehousing, and big data platforms
  • Deep technical expertise in EDW methodologies, ETL, security, database optimization for query tuning
  • Expertise in SQL, Python and other programming languages, UNIX/Linux, Informatica or other ETL tools
  • 8+ years of software development experience
  • 2+ years of hands-on experience with big data ecosystem (Hadoop, HBase, Hive, Spark, Kafka)
  • BS/MS in Computer Science, Information Management or related field

NICE-TO-HAVES

  • Industry experience in video streaming and OTT
  • Experience and understanding of Ads data and business
  • Experience with cloud solutions (AWS, Redshift, Snowflake, other)
*LI-AC1

Just like the best ensemble casts of our favorite shows, Hulu embraces diversity and is proud to be an Equal Opportunity Employer.

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