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Senior Analytics Engineer - Content Delivery Analytics
Netflix
Los Gatos, CA, United States
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Netflix makes up 1/3 of internet traffic, and we're proud to deliver content that over 90 million customers enjoy globally. Behind the scenes, Netflix video is delivered by Open Connect, our custom-build content delivery network that connects to thousands of ISPs around the world.
Decisions on how to improve streaming performance for our customers and evolve Open Connect's architecture are driven by data. We're looking for someone to corral petabytes of incoming data on networks and streaming performance into intelligent analytic tools that deliver clear, actionable information to executives, engineers and analytic teams within Netflix.
You'll automate our way to faster decision-making and create analytic products we'll wonder how we ever managed without. You'll work with data at incredible scale (we track every customer action and every byte of data transferred) alongside best-in-class engineers and analytic experts who'll be your partners in collaboration and learning. Open Connect operates like a startup within Netflix, and the projects you'll work on will be truly impactful. You'll become an expert in the world of networking and video streaming delivery (no prior knowledge necessary, but curiosity to learn is a must).
Upcoming projects
• Implement anomaly detection for surfacing metric shifts across multi-dimensional, highly cardinal data
• Work with and contribute to advanced internal tools for visualization and interaction with large datasets (sub-second response on billions of records)
• Compose a picture of end-to-end customer experience, from loading the Netflix app through playing a title, that informs multiple teams (Open Connect, UI engineering, AWS engineering)
• Take ownership of and increase automation for the complex data that drives the highly visible ISP Speed Index, a site publishing Netflix streaming speeds for ISPs around the world
Experience required
• Comfortable self-managing and working on projects that are often cross-functional and ambiguous
• Data manipulation (SQL, Python, APIs, UDFs)
• Data processing at scale (Spark, Scala, Pig, Hive, Java)
• Large-scale storage and retrieval (Hadoop, ElasticSearch, Druid)
• Visualization techniques and tools (D3, chart.js, Tableau, Superset, graph analytics)
• Statistics for decision-making
Netflix offers amazing co-workers, new technologies, fascinating analytical and technical challenges, and a culture that's truly unique. Learn more at Netflix Jobs
You will need to be comfortable leading in the most agile of environments. Requirements will be vague, iterations rapid. You will need to be nimble and take smart risks.