Design, develop, test, and maintain reliable and scalable data pipelines and ETL/ELT architectures using Google's distributed data systems (e.g., advanced SQL, Python).
Contribute to the modernization of the Ads Data Infrastructure (GDI) and Customer Data Platform (CDP), optimizing data models to ensure our single source of truth remains robust and performant.
Partner closely with cross-functional stakeholders across gTech and Customer Engagement (CE) to translate evolving business requirements into actionable technical data solutions.
Work seamlessly with Data Scientists and Business Analysts to transition analytical prototypes, metrics, and models into stable, production-grade reporting environments.
Lead data quality by authoring clear technical design documents, executing rigorous code reviews, and proactively resolving complex bugs and supporting escalations.

Data Engineer, Data Architecture and Engineering, gData

Job Description