Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations, Google

Data Engineer
India
October 27, 2026
Full Time

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Job Description

Google is hiring a Data Engineer for its Data Architecture and Engineering team within gTech Strategy. The role focuses on building scalable data pipelines, maintaining reliable data infrastructure, and supporting data-driven business decisions. The selected candidate will collaborate with cross-functional teams to modernize data systems, improve data quality, and transform analytical models into production-ready solutions. The position also involves optimizing data architecture, resolving technical issues, and enabling AI-driven business operations through dependable engineering practices.

Qualification: Master’s degree or Bachelor’s degree in Computer Science.

Experience:  1 year  

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Responsibilities

  • Design, build, test and operate reliable, scalable data pipelines and ETL/ELT architectures on Google’s distributed data systems 
  • Help in the transformation of the Google Ads Data Infrastructure (GDI) and the Customer Data Platform (CDP) by improving data models to ensure that our “Single Source of Truth” stays robust and efficient.
  • Collaborate with stakeholders from across the different functional teams in gTech and Customer Engagement (CE) to turn business needs into technical data solutions.
  • Collaborate with data scientists and business analysts to convert analytics prototypes, metrics, and models into production-level reporting systems.
  • Ensure data quality through technical documentation of designs, performing code reviews and troubleshooting difficult bugs and support escalations.

Minimum qualifications:

  • Bachelor’s degree in computer science, mathematics, a related field, or equivalent practical experience.
  • 1 year of experience with data processing software.
  • Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
  • Experience with database administration techniques or data engineering.
  • As well as writing software in Java, C++, Python, Go, or JavaScript.

Preferred qualifications:

  • Masters degree or any other advanced degree in Computer Science or some other technical field or equivalent experience.
  • Experience in technical consultation, along with experience in data warehouses, that includes technical architectures of data warehouses, infrastructures, ETL/ELT and reporting/analytical systems.
  • Experience in working with Big Data, information retrieval, data mining or machine learning.
  • Experience in developing multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
  • Experience in customer-facing or customer service positions, where AI technologies can be used for improving the development process.

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