.**Job Requisition ID**:- JR30789**Teams**:- Data Science & Analytics**Work Type**:- OnsiteNetflix is one of the world's leading entertainment services with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.**The Role**The reach of Netflix and the fandom we create fuels the "Netflix effect" - a virtuous cycle of great content and intense fandom that catapults our stories into the cultural conversation. Netflix influences what people around the world search for and talk about, the music they listen to, the books they read, the countries they visit, and how they dress.Our marketing efforts help to kick start the Netflix effect, and we are providing more and more ways for fans to engage with our stores: Tudum, events like Netflix Bites and Bridgerton experiences, and the launch in 2025 of the first two Netflix House locations.Netflix is a data-driven company, and we are hiring multiple data engineers to increase our data support for marketing and fandom activities around the world. The opportunity for impact in these roles is enormous: Netflix social media channels generate more than 100B impressions a year, we are expanding fandom into the real world, and we've barely scratched the surface of the data available to support these activities.What have you done and what do you know?- You have 8+ years of experience and proficiency building data pipelines in both batch and 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, Hive/Iceberg, Kafka - experience with these specific technologies is helpful, but not strictly required.- You are proficient in Python 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've worked with common data warehouse solutions, such as Snowflake, Redshift, BigQuery, Vertica, Teradata, Greenplum, etc.What will you do?- Fully own critical pipelines and data sets to support Netflix efforts around marketing and fandom.- 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