Data Engineer (L4) - 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 key pipelines to determine both individual game, and overall game portfolio performance. This role will be partnering closely with our Game studio stakeholders to understand the kinds of data that will need to be collected. As a member of this team, you may also work directly with our Game Development teams, as they work to collect telemetry from specific games.
The ideal candidate will have a strong background in distributed data processing, have great and demonstrable data intuition, and share our passion for continuously improving Netflix Games.
In This Role, You Will

• Partner with the Netflix SDK team and Netflix external game partners (i.e Gameloft) to bring data in via the Netflix Games SDK
• Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
• Develop a deep understanding of the emerging games domain at Netflix
• Join a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts
• Partner with our game studio leads to evolve the top-level metrics for games (retention etc)Partner with Netflix's internal game studios (Night School, Next Games, Boss Fight and Spry Fox) to ingest relevant metrics and game data to the Netflix ecosystem

About You

• Conceptually familiar with AWS cloud resources (S3, EC2, RDS etc)
• Passionate about building intuitive data products
• Experienced in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets
• Highly proficient in at least one of Java, Python or Scala with at least 2 years of software/data engineering experience
• Comfortable with advanced SQL
• Excel at taking requirements and implementing scalable data models and pipelines
• Excited about demonstrating excellence, learning new technologies and growing your career