Netflix Data Engineer L5 - 

Poland, Masovian Voivodeship, Warsaw 

740699880

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In this team, you’ll help elevate our conversation, marketing, and fandom decisions and events globally. You will own and architect our data engineering pipelines to ingest marketing and fandom data from various sources and power insights using the data.

• You have 6+ years of experience and proficiency building data pipelines in batch and/or real-time settings to support a variety of use cases. Some of our data sources are small (e.g., sales at Netflix House), and some are enormous (e.g., social media feeds). Our stack is Spark, Flink, Iceberg, Kafka - experience with these specific technologies is helpful but not strictly required.

• You are proficient in Python and/or Scala for scripting, automation, and data orchestration frameworks, and you can write complex SQL (any variant) for ad-hoc and recurring workflows. You strive to write elegant and maintainable code, and you're comfortable picking up new technologies.

• You understand how to model data efficiently for reporting and metrics, and how to organize data for scale and fast retrieval.

• You have experience sourcing and modelling data from application APIs and event streams.

• You have experience converting business requirements into data engineering workstreams, enabling insights that empower our colleagues to make better and more informed decisions.

• You have experience mentoring and guiding/unblocking other team members, navigating ambiguity and creating clarity

• Fully own critical pipelines and data sets to support variety of use cases in data science and engineering.

• Directly collaborate with stakeholders to understand needs, model tables using data warehouse best practices, and develop data pipelines to ensure the timely delivery of high-quality data.

• Creatively explore how to use data to continually add value to Netflix. Translate ambiguous business questions into clear data requirements, and then deliver on them.

• Be a bridge between data engineering and the business, enabling insights that empower our colleagues to make better and more informed decisions.

• Build strong partnerships with data scientists, analytics engineers, and machine Learning practitioners to enable research and insight delivery for the business.

• You work quickly and independently while also collaborating effectively across functions (e.g. with marketing experts, data scientists, product managers).

• You thrive in a fast-paced environment and see yourself as a partner in the business, with the shared goal of moving it forward.

• You have a growth mindset and expect the same from your colleagues. You are also curious, authentic, selfless, determined, and industrious. You generously give and receive candid feedback to grow yourself and those around you.

• You have strong beliefs that are weakly held: you can deliberate and hear all sides of a discussion, and adapt to new perspectives that emerge from it.

• You are a sharp communicator who can break down and explain complex data problems in clear and concise language.

Job is open for no less than 7 days and will be removed when the position is filled.