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Who are you?
You strive to write elegant code and are comfortable with independently picking up new technologies.
You have mastery over at least one major programming language (e.g., Java, Scala, Python) and are comfortable working with SQL.
You enjoy helping teams push the boundaries of analytical insights, creating new product features using data, and powering machine-learning models.
You have a strong background in at least one of the following: distributed data processing or software engineering of data services.
You are familiar with big data technologies like Spark and Flink and comfortable working with web-scale datasets.
You are passionate about the end-to-end software development lifecycle, focusing on automation, testing, CI/CD, and documentation.
At Netflix, you own your code, services, and pipelines. You have practical, solid DevOps and Operation fundamentals, and you enjoy total ownership of your domain.
You have a solid understanding of the device lifecycle.
You have an eye for detail, good data intuition, and a passion for data quality.
You relate to and embody many of the aspects of the Netflix Culture. You love working independently while also collaborating and giving/receiving candid feedback.
You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks.
What you will do:
Help Netflix support and evolve the device data model by improving data excellence and quality, supporting analytics, developing and maintaining metrics, and partnering with engineering to deliver the next generation of Netflix experiences.
Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
Partner with numerous engineering teams, analytics engineers, and data scientists to enhance playback-related datasets.
Maintain and rethink existing pipelines to improve scalability and maintainability.
Job is open for no less than 7 days and will be removed when the position is filled.
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