Key skills
Data engineeringAdvertising dataData privacyGDPRData warehousingData modelingData transformationBatch processingStreaming processingPythonScalaJavaSQLData pipeline developmentBig Data technologiesHadoopSparkFlinkHivePrestoAPI data sourcingSoftware development toolsCuriosityTenacitySelf-directionMachine LearningMLData WarehousingAnalytics
About this role
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries. They are seeking a Data Engineer to architect and expand core data products that scale their Ads business, collaborating with various stakeholders to ensure high-quality data delivery.
Responsibilities:
- Architect, strengthen, and expand the core data products that scale our Ads business
- Fully own critical portions of Netflix' Ads data products
- Collaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely delivery of high quality data
- Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis, ML and reporting needs intuitively
- Develop best practices for governance of data sets with sensitive information
- Build strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitioners
Requirements:
- Curious, creative, and tenacious
- Sharp communicator who can break down and explain complex data problems in clear and concise language
- Extensive background and strong technical expertise working with data at scale
- Experience with advertising data (preferred) and understand how to build for privacy, and business impact
- High tolerance for ambiguity and fast-changing context
- Hands-on experience building batch or streaming production data pipelines, ideally using one or more distributed processing frameworks such as Spark, Flink or Hive/Hadoop
- Knowledge in data modeling and establishing data architecture across multiple systems
- Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward
- Create code that is understandable, simple, and clean, and take pride in its beauty
- Love freedom and hate being micromanaged. Given context, you're capable of self-direction
- Passionate about data quality and delivering effective data to impact the business
- Architect, strengthen, and expand the core data products that scale our Ads business
- Fully own critical portions of Netflix' Ads data products
- Collaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices
- Develop large scale data processing solutions to ensure the timely delivery of high quality data
- Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis, ML and reporting needs intuitively
- Develop best practices for governance of data sets with sensitive information
- Build strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitioners
- Domains related to advertising, data privacy, GDPR
- Data warehousing, data modeling, and data transformation for both batch and streaming
- Hands on command programming languages such as python, scala or java as well data exploration using sql
- Expert at building performant data pipelines and optimizing existing workflows for new features
- Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc
- Experience with sourcing and modeling data from application APIs
- Team based software development tools and best practices