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Netflix Data Engineer L5 - Ads United States, Oregon 229651402
Yesterday
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Who are you?
- Beyond talented, you are curious, creative, and tenacious.
- Sharp communicator who can break down and explain complex data problems in clear and concise language.
- You have an extensive background and strong technical expertise working with data at scale, experience with advertising data (preferred), and understand how to build for privacy and business impact
- You have a high tolerance for ambiguity and fast-changing context
- Hands-on experience building batch or streaming production data pipelines, ideally using one or more distributed processing frameworks such as Spark, Flink or Hive/Hadoop
- Knowledge of data modeling and establishing data architecture across multiple systems
- Thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- Create code that is understandable, simple, and clean, and take pride in its beauty.
- Love freedom and hate being micromanaged. Given the context, you're capable of self-direction.
- Passionate about data quality and delivering effective data to impact the business.
What will you do?
- Architect, strengthen, and expand the core data products that scale our Ads business. You’ll get on a team of talented data engineers and envision how all the data elements from multiple sources should fit together as a whole, and then execute on that plan.
- Fully own critical portions of Netflix's Ads data products. Collaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large-scale data processing solutions to ensure the timely delivery of high-quality data.
- Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis, ML and reporting needs intuitively
- Develop best practices for governance of data sets with sensitive information
- Build strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitioners
What (ideally) do you know?
- Domains related to advertising, data privacy, GDPR
- Data warehousing, data modeling, and data transformation for both batch and streaming
- Hands-on command programming languages such as python, scala, or java as well as data exploration using SQL
- Expert at building performant data pipelines and optimizing existing workflows for new features
- Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc.
- Experience with sourcing and modeling data from application APIs
- Team-based software development tools and best practices
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