Data Engineer 5 - Privacy [Remote]

We are in the midst of major transformative developments for the Netflix product with the launch of an Advertising supported plan, Games and Live content. These new products, alongside our streaming service, have resulted in significant increases in the complexity and breadth of our internal data ecosystem. We manage one of the largest paid subscription businesses and are committed to handling our members' data with a high degree of care towards appropriate use as well as compliance with local privacy laws and regulations in the 190+ countries where we operate. The Privacy and Legal Data Engineering pod builds scalable data management and extraction frameworks which are at the core of our ability to hold ourselves to the highest data privacy and hygiene standards in the industry. We are looking for a Data Engineer to help augment our ability to build these robust, scalable privacy centric data frameworks. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka and others to build insightful, scalable and robust data pipelines; write ETL jobs to collect and aggregate data; and build high quality data frameworks that enable appropriate handling of customer personal data. The ideal candidate will bring a strong track record of having built data systems and frameworks to strengthen the privacy posture at large consumer businesses. They will have a deep background in distributed data processing and share our passion for continuously improving the ways we handle data to make Netflix's data privacy posture better. Who you are: • Passionate about consumer centric data privacy and risk mitigation for the business • Highly proficient in at least one of Java, Python or Scala with at least 8 years of software/data engineering experience • Proficient in advanced SQL and effective in a complex data environment • Highly experienced in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large scale data sets • Comfortable working cross functionally with multiple types of stakeholders groups • Able to successfully lead large, complex systems design and implementation challenges independently What you will do: • Design and implement elegant frameworks to scalably meet various internal and consumer facing data privacy and legal needs • Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data • Develop a deep understanding of the data ecosystem at Netflix from a privacy lens • Partner with the privacy engineering teams to understand product goals and provide data which enables us to respond to customer and regulatory data requests • Mentor and inspire teammates while elevating the impact of the team • Enable Netflix to effectively manage legal and regulatory risk and compliance while maintaining a high standard of consumer data privacy expectations Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled. Jobcode: Reference SBJ-9z3qz7-172-71-23-121-42 in your application.