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Data Engineer, Global Sales Activation, Go-To-Market

Google is a leading technology company known for its search engine and various internet-related services and products.
$118,000 - $174,000
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
Enterprise SaaS · AI
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Description For Data Engineer, Global Sales Activation, Go-To-Market

The Governance, Infrastructure, and Operations (GIO) team sits within Product Operations in the Global Sales Activation (GSA) organization, and is responsible for leading sales workflow activation strategy across business operations, governance, legal compliance, sales enablement, and measurement and analytics. GSA resides within the Go-To-Market Operations (GTM) team and enables Google's Business Organization (GBO) to drive customer success. Experts in driving process improvements and consistency, team members are analytical and strategic with a pragmatic sense of getting things done.

Data is the fundamental building block for every tool and every insight. We build the data sets that help run the business, piping the relevant data into and out of our tools, and making it useful for analysts across the organization to drive reporting and insights. We are responsible for democratizing GBO and Ads data, helping business leaders make sense of business operations through timely, accurate, and robust business intelligence. We use SQL and ETL systems to produce useful datasets, establish best practices for data sets and reporting, and develop a breadth of expertise in various data domains. Ultimately, Data Engineers scale centralized reporting and automate data processes to ensure the business is operating more effectively and efficiently.

Responsibilities: • Centralize ads and customer data to enable discovery and analysis for users. • Recommend and adopt best practices in developing and modifying existing data models and ETL pipelines. Be responsible for data governance, data integrity, test design, validation. • Create Extract, Transform, and Load (ETLs) and reporting systems for new data using a variety of traditional as well as large-scale distributed data systems. • Work closely with analysts to productionize various statistical and machine learning models using data processing pipelines. • Write and review technical documents including design, development, and revision documents.

Last updated 7 months ago

Responsibilities For Data Engineer, Global Sales Activation, Go-To-Market

  • Centralize ads and customer data to enable discovery and analysis for users
  • Recommend and adopt best practices in developing and modifying existing data models and ETL pipelines. Be responsible for data governance, data integrity, test design, validation
  • Create Extract, Transform, and Load (ETLs) and reporting systems for new data using a variety of traditional as well as large-scale distributed data systems
  • Work closely with analysts to productionize various statistical and machine learning models using data processing pipelines
  • Write and review technical documents including design, development, and revision documents

Requirements For Data Engineer, Global Sales Activation, Go-To-Market

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 and building 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, Global Sales Activation, Go-To-Market

  • bonus
  • equity
  • benefits

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