Data Engineer (L5) - Games

Now is an amazing time to join Netflix as we seek to entertain the world. We have over 200 million paid members in over 190 countries, and we won’t stop there. Games are our next big frontier and an incredible opportunity for us to deliver new experiences to delight and entertain our quickly growing membership. You will be jumping in at the very beginning of this adventure and be in a position to help us redefine what a Netflix subscription means for our members around the world. Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, and sciences to improve various aspects of our business. We are looking for a Data Engineer to join our Games DSE team, supporting end-to-end analytics & data needs for our games portfolio. This role will be partnering closely with our Game stakeholders to develop software and data solutions that enable analysis across the entire library of games.  As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka, and others to build insightful, scalable, and robust data pipelines that feed directly into our key gaming dashboards; write ETL jobs to collect and aggregate data; and build high-quality data models that represent how games are performing on Netflix. The ideal candidate will also have a background in games, with a solid knowledge of how standard industry metrics are computed.

Who You Are:

• 7+ years of software/data engineering experience working with video game analytics (i.e you are familiar with how key metrics such as DAU, MAU and retention rates are computed in an ETL).
• Passionate about building intuitive data models and an expert in distributed data processing patterns.
• Highly proficient in at least one of these programming languages: Java, Python, or Scala.
• Comfortable with complex SQL.
• Expert in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on large-scale data sets demonstrated through years of experience.
• Conceptually familiar with AWS cloud resources (S3, EC2, RDS etc). 
• Excel at taking vague requirements and crystallizing them into scalable data solutions. 
• Excited about operating independently, demonstrating excellence, and learning new technologies and frameworks. 

What will you do?

• Engineer efficient, adaptable, and scalable data pipelines in Spark and Python/Scala to process structured data into aggregate datasets that feed all games portfolio dashboards.
• Become an expert in games metrics at Netflix - act as a thought partner to the games analytics team, understand their challenges, and help them to put the right data in front of our stakeholders.
• Maintain and rethink existing datasets and pipelines to service a wider variety of use cases.
• Join a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts.

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