Netflix is at the forefront of cloud architecture and and big data analytics. Our systems ingest hundreds of billion events daily and the volume is growing rapidly as we expand globally. The data we collect is curated into a petabyte scale warehouse to serve our Data Science and Engineering teams in making decisions across every aspect of our business. To query this data, we maintain a world-class big data platform. This represents a unique opportunity to work with the open source community and build out the best analytics platform in the cloud for our global offering.
In this role, you will be contributing to Netflix’s industry leading big data processing engines and working with other companies invested big data to build out open source big data solutions.
Specifically, you will:
Develop features for big data query engines like Spark, Presto, Druid, and Hadoop
Contribute to open source projects and advance the state of big data
Be a liaison to help data scientists for building/diagnosing big data queries
This is your dream job if you:
Are passionate about building out large-scale distributed systems in the cloud to process petabytes of data
Seek out opportunities to engage and contribute to the open source community
Work well in a cross-functional environment and excel in communicating with your peers
Thrive on working in a fast-paced, evolving, growing, dynamic environment
Have a BS/MS/PhD in Computer Science or related field
Netflix is the world’s leading Internet television network with over 100 million members in over 190 countries enjoying more than 125 million hours of TV shows and movies per day, including original series, documentaries and feature films. Members can watch as much as they want, anytime, anywhere, on nearly any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.