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Data Engineer, Product Data Warehouse

Google is a leading global technology company specializing in internet-related services and products.
Data
Mid-Level Software Engineer
3+ years of experience
AI · Advertising
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Description For Data Engineer, Product Data Warehouse

Google is seeking a Data Engineer for their Product Data Warehouse team within Go-to-Market. This role focuses on tracking adoption of Ads and measurement products and features, generating lead lists, analyzing feature value, setting sales team priorities, and influencing Ads product direction. The goal is to organize and produce thoughtful, useful data for sales teams that is widely accessible.

As a Data Engineer, you'll be responsible for supporting quarterly planning workflows, managing JavaScript configurations for sales suggestions, driving Ad sales activity through business logic implementation, and synthesizing data to deliver actionable insights. You'll work with cross-functional teams in Engineering, Sales, and Product Management to leverage emerging technologies for advertising clients and product partners.

The ideal candidate should have a strong background in data infrastructure, data modeling, and experience with ETL processes. You'll need at least 3 years of coding experience and familiarity with data pipelines and dimensional data modeling. Knowledge of Google advertising and measurement products is preferred.

This role offers the opportunity to work on impactful projects that directly influence Google's advertising business and product strategy. You'll be at the forefront of data-driven decision-making, helping to shape the direction of Google's Ads products while supporting sales teams with valuable insights.

Join Google's diverse and inclusive team, where your skills in data engineering will contribute to the success of one of the world's leading technology companies. This position offers the chance to work on cutting-edge technologies and make a significant impact on Google's advertising ecosystem.

Last updated 8 months ago

Responsibilities For Data Engineer, Product Data Warehouse

  • Support quarterly planning workflow used by promoters via an Extract, Transform, and Load (ETL) process that generates sales suggestions
  • Manage JavaScript-based configuration to integrate sales suggestions into Connect Sales, Google's Ads Customer Relationship Management (CRM)
  • Drive and measure Ad sales activity by implementing business logic to suggest pitches and detect if pitches have been implemented
  • Synthesize advertiser/promoter data and conduct analyses to deliver insights and actionable recommendations for product and sales leadership
  • Manage special projects as assigned

Requirements For Data Engineer, Product Data Warehouse

JavaScript
  • 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 by performing exploratory queries and scripts
  • 3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.)

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