Data Engineer, Global YouTube Marketing

YouTube is a global video-sharing platform and subsidiary of Google, enabling billions of people to discover, watch, and share user-created videos.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer, Global YouTube Marketing

As a Data Infrastructure Manager for the Global YouTube Marketing team, you will play a crucial role in shaping marketing strategy through data infrastructure development and maintenance. The position involves building and leading a team of data engineers to create cutting-edge data solutions, design insightful dashboards, and establish robust data pipelines. You'll work with various stakeholders to optimize marketing campaigns and measure their impact. The role combines technical expertise in data engineering with leadership responsibilities, requiring both strong technical skills and the ability to mentor team members. At Google/YouTube, the focus is on connecting technology with users in innovative ways, using data-driven approaches to solve problems ranging from everyday challenges to monumental issues. The position requires expertise in data processing systems, BI tools, and cross-functional collaboration, making it an ideal opportunity for someone who wants to impact YouTube's global marketing efforts through data-driven solutions.

Last updated 13 days ago

Responsibilities For Data Engineer, Global YouTube Marketing

  • Design and build data processing systems with emphasis on security, compliance, scalability, efficiency, reliability, and portability
  • Create or consult in creating data visualizations using Business Intelligence (BI) tools
  • Develop and maintain data models, pipelines, and exchange formats
  • Provide ongoing support for data users through maintenance of reports, queries, and dashboards
  • Collaborate with cross-functional teams to understand data requirements and deliver impactful data solutions

Requirements For Data Engineer, Global YouTube Marketing

Python
  • Bachelor's degree or equivalent practical experience
  • 3 years of experience coding in one or more programming languages
  • 3 years of experience working with data infrastructure and data models
  • 3 years of experience designing data pipelines and dimensional data modeling
  • Experience with statistical methodology and data consumption tools
  • Experience with Machine Learning for production workflows
  • Understanding of incrementality measurement methodologies and frameworks

Benefits For Data Engineer, Global YouTube Marketing

Medical Insurance
Parental Leave
  • Medical Insurance
  • Parental Leave

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