Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations
Google· gTech Strategy and Operations
Hybrid (Gurugram; Hyderabad)Full-timePosted 1mo ago
About the role
Data Engineer responsible for designing and building foundational data infrastructure to power Google’s data needs, focusing on reliable, scalable data pipelines and ETL/ELT architectures within Google's distributed data systems.
Responsibilities
- 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 Google Ads Data Infrastructure (GDI) and Customer Data Platform (CDP), optimizing data models for a robust Single Source of Truth.
- Partner with cross-functional stakeholders across gTech and Customer Engagement (CE) to translate evolving business requirements into actionable technical data solutions.
- Collaborate with Data Scientists and Business Analysts to productionize analytical prototypes, metrics, and models into stable reporting environments.
- Advocate data quality by authoring clear technical design documents, performing code reviews, and proactively resolving complex bugs and support escalations.
Qualifications
- Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
- 1 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
- Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
- Experience with database administration techniques or data engineering, and writing software in Java, C++, Python, Go, or JavaScript.
Skills
Required:Data pipeline design and implementationDistributed data systemsSQL and PythonCollaboration with cross-functional teams
Nice to have:Data modeling and CDP/GDI familiarity
Last updated Oct 23, 2026. Interested? Apply on the company site.
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