Data Engineer (L5) - Ads

Netflix

2d

About The Position

Netflix is one of the world's leading entertainment services, with over 300 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.
About the team
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.
Who are you?
Beyond talented, you are curious, creative, and tenacious.
Sharp communicator who can break down and explain complex data problems in clear and concise language.
You have an 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
You have a 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.

Requirements

• Extensive background and strong technical expertise working with data at scale
• 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
• 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.

Nice To Haves

• Experience with advertising data
• 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

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

Benefits

• Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.
• We also offer paid leave of absence programs.
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
• Full-time salaried employees are immediately entitled to flexible time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees