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UX Engineer, Data Engineering, Google Ads
UX Engineer, Data Engineering, Google Ads-January 2024
Bengaluru
Jan 10, 2026
ABOUT GOOGLE
Our mission is to organize the world’s information and make it universally accessible and useful.
10,000+ employees
Technology
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About UX Engineer, Data Engineering, Google Ads

  Minimum qualifications:

  Bachelor's degree in Computer Science or related field, or equivalent practical experience.

  7 years of experience developing front-end focused data applications.

  Experience in SQL, SQL Pipelines, g3doc, Data Marts, PLX, Plx Scripts, and Plx Workflows.

  Preferred qualifications:

  Experience building datasets.

  Exposure to privacy data handling and privacy design document.

  Our mission is to build the data and insights infrastructure to operate with user-centricity, a culture of decision-making, engineering, design, and serviceability anchored on a deep commitment to meeting the needs and expectations of our users.

  In this role, you will help build a state of affairs where a purpose-built, trustworthy, detailed, and unambiguous picture of Ads user experience is broadly accessible and ever-present at all levels of the business.

  User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users’ needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products’ unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google’s philosophy: “Focus on the user and all else will follow.”

  Develop a comprehensive strategy for accelerating the production of purpose-built UX datasets for internal users (e.g., Ads Quant UXRs primarily and data scientists, behavioral economists, program managers, analysts, product managers, and software engineers).

  Oversee the implementation and ongoing management of data privacy requirements and best practices.

  Establish and lead a multiyear strategy for data codebase development and maturation.

  Contribute to front-end focused data applications and utilities for the Ads UX team.

  Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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