Senior Analytics Engineer - Streaming Video Delivery
Netflix, Los Gatos, California
Leading subscription service for watching TV episodes and movies
- Armed with terabytes of rich, millisecond-level time series data, what characteristics successfully distinguish cellular networks from wifi networks? How can Netflix improve the streaming experience on different network types through offline and online analysis?
- Netflix is investing in a best-in-class network lab environment for controlled tests. How can our real-world production data inform the right lab test parameters?
- Deep partnership and collaboration with client teams whose adaptive streaming algorithm powers the Netflix video streaming experience on members’ devices. How does network performance impact application performance? How can we improve both?
- Opportunity for collaboration with other industry-leading internet streaming companies.
- Self-managing cross-functional projects fueled by ambiguous questions
- Data access and manipulation (Python, SQL and variants like Presto)
- Data processing at large scale (Spark, Hive or Java)
- Large-scale storage and retrieval (Hadoop, ElasticSearch or Druid)
- Applied statistics
- Partnership and strong communication with engineering or product teams
- Prior knowledge of networking and TCP (Transmission Control Protocol) are not required as long as you have passion and curiosity to learn
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.
Want to learn more about Netflix? Visit Netflix's website.
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