At Netflix, we are shaping the future of entertainment because we believe there is a better way to watch. Like our customers, we love movies and TV shows and we want the world to experience the joy of entertainment wherever and whenever they want.  We are pioneering the way in which we use big data, analytics and advanced data science to optimize our global marketing.

We ingest and integrate huge volumes of disparate data from a variety of advertising technology platforms with internal sources. Our marketing strategies, tactics and external advertising platforms are all evolving at a rapid pace. This requires rapid innovation in large scale data pipeline design & development to ensure critical datasets are made available, well audited and normalized for our unique analytical needs.

• Build scalable/reliable/high quality data products to enable impactful descriptive analysis and predictive models
• Integrate variety of internal/external (via API’s) real-time and batch data sources, using best of breed tools (in house & external) such as Hadoop, Hive, Pig and Spark
• Ensure delivery of critical data with expected data quality in a rapid, reliable manner following “lean startup” and Minimum Viable Product (MVP) principles
• Actively explore opportunities to acquire & integrate new data sources to expand breadth & depth of analysis
• Innovate methods to build more robust data pipelines & contribute to internal frameworks & tool expansion
• Influence cross-functional team of business stakeholders, engineers and team members to derive maximum value from data

• You are passionate about the Netflix product
• Are proficient in at least one programming language (Java, Scala, C++) and comfortable working in a variety of tech stacks
• Expert at data processing with a strong understanding on how it’s used to drive business value
• You have a curious, learning mindset to understand and stay ahead of the rapid business & tech innovation going on around you
• You are a data geek & a quant able to hold your own in discussions on data, metrics and algorithms
• You can thrive in ambiguity, love fast pace with a strong bias towards action
• You are detail oriented and can make pragmatic design trade-offs based on business context and time-to-market needs
• Have exposure to building web/mobile apps and are familiar with software engineering principles