Netflix is looking to optimize its product's performance and deliver a high-quality, thrilling, and uninterrupted streaming experience for its members by leveraging data to measure, optimize, and personalize product quality.
Requirements
- master at least one major programming language (preferably Python)
- comfortable working with SQL
- strong background in at least one of the following: distributed data processing or software engineering of data services
- familiar with big data technologies like Spark and Flink
- comfortable working with web-scale datasets
- practical, solid DevOps and Operation fundamentals
- own your code, services, and pipelines
Responsibilities
- collaborate with data engineers, software engineers, and QoE analytical engineers to build reliable, scalable data pipelines
- transform client and server telemetry into core performance metrics
- surface QoE insights
- build reliable, scalable data pipelines
- transform client and server telemetry into core performance metrics
- surface QoE insights
- focusing on automation, testing, CI/CD, and documentation
Other
- high degree of autonomy
- strong technical judgment
- ability to span across the data stack
- strive to write elegant code
- comfortable with independently picking up new technologies
