Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
Develop a deep understanding of the cloud infrastructure domain at Netflix
Partner with the platform engineering and finance teams to understand platform efficiency goals and provide data that will empower teams to improve efficiency
Maintain and rethink existing datasets and pipelines
Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering, etc
Join a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts
Requirements
Highly proficient in at least one of Java, Python or Scala (Scala preferred)
At least 6 years of data engineering experience
Advanced-level SQL skills in a complex data environment
At least 4 years of experience in engineering data pipelines using big data technologies (Spark, Presto, Flink, etc.) on medium to large-scale data sets
Comfortable working cross-functionally with multiple types of stakeholders and groups
Able to successfully lead large, complex systems design and implementation challenges independently