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