Data Engineer – Ads
Netflix
Job description
About the role
Netflix’s Ads Data Engineering team builds the data ecosystem that powers decision‑making around ad inventory, forecasting, targeting, serving and pacing. As a Data Engineer you will design, develop, and scale core data products that enable the Ads business to grow.
Key responsibilities
- Architect, strengthen, and expand core Ads data products and pipelines.
- Own critical portions of Netflix’s Ads data platform, from modeling to production delivery.
- Collaborate with analytics engineers, data scientists, and software engineers to create data solutions for analysis, machine‑learning and reporting.
- Develop best practices for governance of sensitive data sets.
- Build strong partnerships across product, engineering and business teams.
Required profile
- Curious, creative and tenacious with strong communication skills.
- Extensive experience working with data at scale and a solid understanding of privacy considerations.
- High tolerance for ambiguity and fast‑changing environments.
- Passionate about data quality and delivering impactful data products.
Required skills
- Hands‑on experience building batch or streaming pipelines using distributed processing frameworks such as Spark, Flink, Hive or Hadoop.
- Knowledge of data modeling and data architecture across multiple systems.
- Proficiency in software engineering best practices for data warehousing.
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