Job Description

Netflix is seeking a Senior Data Engineer to build reliable and intuitive data products, enabling cloud platforms to scale effectively. The role involves working with diverse data technologies to create scalable data pipelines and high-quality data models that enhance Netflix’s cloud infrastructure.

Requirements

Passionate about building intuitive data products
Highly proficient in at least one of Java, Python or Scala (Scala preferred) with 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
Prior experience with AWS cloud resources (S3, EC2, RDS etc) strongly preferred

Responsibilities

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