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Data Engineer III, Global Business and Operations Engineering

Google is a global technology leader specializing in internet-related services and products.
$118,000 - $174,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS
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Description For Data Engineer III, Global Business and Operations Engineering

Global Business and Operations Engineering (GBO) is an embedded Product and Engineering team within Google's ad sales organization. The team builds consumer-grade internal tooling for sales, marketing, and service teams.

The cross-functional team of engineers, designers, and product managers is responsible for internal platforms that support Sales and Marketing teams to run events, deliver professional services, and manage commercial agreements with ads customers. As a Data Engineer, you will play a key part in building the foundational data infrastructure that powers Google's advertising products. You will be responsible for designing, developing, and maintaining a scalable data warehouse solution that serves the needs of internal teams and drives value for customers.

Responsibilities:

  • Design, build, and maintain ETL pipelines to transform data from various sources.
  • Develop and manage the data warehouse storage layer, leveraging Google BigQuery and other technologies.
  • Create and maintain data marts and presentation layers to support reporting and analysis needs.
  • Collaborate with product owners, business stakeholders, and data analysts to understand data requirements and translate them into technical solutions.
  • Ensure data quality, accuracy, and consistency across the data warehouse.

This role offers a competitive salary range of $118,000-$174,000 + bonus + equity + benefits. The specific salary is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Last updated 8 months ago

Responsibilities For Data Engineer III, Global Business and Operations Engineering

  • Design, build, and maintain ETL pipelines to transform data from various sources.
  • Develop and manage the data warehouse storage layer, leveraging Google BigQuery and other technologies.
  • Create and maintain data marts and presentation layers to support reporting and analysis needs.
  • Collaborate with product owners, business stakeholders, and data analysts to understand data requirements and translate them into technical solutions.
  • Ensure data quality, accuracy, and consistency across the data warehouse.

Requirements For Data Engineer III, Global Business and Operations Engineering

Python
Java
  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 3 years of experience coding with one or more programming languages (e.g., Python, Java, C/C++).
  • 3 years of experience designing data pipelines (ETL) and model data, for synch and asynch system integration and implementation.
  • 3 years of experience analyzing data, database query (e.g., SQL), and creating dashboards/reports.

Benefits For Data Engineer III, Global Business and Operations Engineering

Equity
  • Bonus
  • Equity
  • Comprehensive benefits package

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