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Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.
Job Responsibility
Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
Build data pipelines that optimise on data quality and are resilient to poor quality data sources
Own the data mapping, business logic, transformations and data quality
Low level systems debugging, performance measurement & optimization on large production clusters
Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
Maintain and support existing platforms and evolve to newer technology stacks and architectures
Requirements
Extensive SQL Skills
Proficiency in at least one scripting language, Python is required
Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures
Experience with AWS, GCP, Looker is a plus
Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
8+ years professional experience as a data Engineer
BS in Computer Science
MS in Computer Science preferred
AI Literacy / AI growth mindset
Nice to have
Experience with AWS, GCP, Looker is a plus
MS in Computer Science preferred
AI Literacy / AI growth mindset
What we offer
Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)