Netflix Data Engineer L5 - Commerce Product Engineering 

United States, Oregon 

897874838

Who are you:

• You are proficient in at least one major language (e.g., Java, Scala, Python) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.

• You are proficient in working with distributed systems and have experience with different distributed processing frameworks that can handle data in batch and real-time e.g. Flink, Spark, etc.

• You have a product mindset and are curious to understand what the business needs. You have a naturally collaborative style and build strong partnerships with cross-functional stakeholders across organizational lines working effectively with various teams, including data science, privacy, platform, and ads teams

• You have a solid handle on best practices relating to data governance and are capable of applying your strong data stewardship skills to managing sensitive datasets and ensuring their quality and security.

• You have experience complying with internally or externally imposed privacy constraints and regulations (e.g., GDPR) when it comes to managing data.

• You proactively think about ways to build upon and improve the systems you work with and are opinionated about engineering principles and have demonstrated experience delivering positive outcomes by putting those principles into practice.

• You leverage your own judgement and input from others to deliver data to meet short-term business needs while also continuously striving for ways to improve our efficiency and effectiveness in delivering long-term value and unlocking new capabilities and insights.

• You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback.

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

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

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