Infrastructure Partner Data Engineer, YouTube

A global technology company that specializes in internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Infrastructure Partner Data Engineer, YouTube

Join YouTube/Video Global Solutions as an Infrastructure Partner Data Engineer, where you'll be the crucial link between Google video products and sales. This role combines technical expertise with business acumen, focusing on managing YouTube's data infrastructure and partner integrations. You'll work with cross-functional teams to design and implement data pipelines, provide technical support for viewership metrics initiatives, and optimize reporting solutions. The position requires strong programming skills, experience with data modeling, and the ability to work with both internal and external stakeholders. As part of Google, you'll contribute to keeping YouTube free and accessible worldwide while working with cutting-edge data technologies. This role offers the opportunity to impact YouTube's data infrastructure while working for one of the world's leading tech companies, with access to vast resources and the chance to solve complex data challenges at scale.

Last updated 5 minutes ago

Responsibilities For Infrastructure Partner Data Engineer, YouTube

  • Manage YouTube data feeds and provide ongoing technical support
  • Provide infrastructure solutions for external audience measurement partner integrations
  • Guarantee the technical aspects of YouTube viewership data integrations
  • Identify, drive, and optimize new third-party reporting opportunities
  • Write and maintain code to support Extract, Transform, Load (ETL) pipelines

Requirements For Infrastructure Partner Data Engineer, YouTube

Python
  • Bachelor's degree or equivalent practical experience
  • 3 years of experience coding in one or more programming languages
  • 3 years of experience designing data pipelines, and dimensional data modeling
  • 3 years of experience working with data infrastructure and data models

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