Data Engineer (L5) - Ads

Netflix•,

13d•$380,000 - $610,000

About The Position

Ads Data Engineering team sits at the core of building a data ecosystem that will power Netflix’ understanding and decision making about what impact ads have on our business. This team’s main focus is to build rich, connected, and easily accessible data products about ad inventories, forecasting, targeting, ad serving, pacing and much more. We are looking for passionale, mature, and curious software engineers with strong data intuition, analytical mindset and ad ecosystem experience, to contribute to the team’s impact in a quickly evolving. We are hiring for several different roles, ranging from senior to staff level for this team.

Requirements

Extensive background and strong technical expertise working with data at scale
Experience with advertising data (preferred)
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.
Hands on command programming languages such as python, scala or java or 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

Nice To Haves

Advertising data experience
Domains related to advertising, data privacy, GDPR
Data warehousing, data modeling, and data transformation for both batch and streaming

Responsibilities

Architect, strengthen, and expand the core data products that scale our Ads business. You’ll get on a team of talented data engineers and envision how all the data elements from multiple sources should fit together as a whole, and then execute on that plan.
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