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Data Engineer

Google· Data Engineering / DAS
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Hybrid (Hyderabad, Gurgaon)Full-timePosted 2w ago

About the role

Data Engineer in Google’s Data and Analytics Services (DAS) team within Platforms and Devices (P&D) responsible for designing, implementing, and optimizing data pipelines and AI/ML-ready data foundations to support centralized data warehousing and analytics.

Responsibilities

  • Lead the design, development, and maintenance of data pipelines and ETL/ELT processes for the centralized data warehouse.
  • Architect and optimize SQL queries for data transformation, analytics, and reporting.
  • Develop and manage data foundations and models to support AI/ML initiatives and AI-driven insights; maintain data infrastructure to support these foundations.
  • Partner with executive stakeholders, data scientists, and AI teams to understand requirements and architect data solutions.
  • Collaborate with other data engineers to deliver data solutions and promote technical growth within the team.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, a related quantitative field, or equivalent practical experience.
  • 3 years of experience in a Data Engineering, Data Infrastructure, or Data Analytics role.
  • Experience with data engineering and writing software in Python or SQL.
  • Experience in managing and maintaining data projects from conception to production.
  • Experience building and maintaining data pipelines tailored for ML, AI, or advanced analytics workloads.

Skills

Required:SQLPythonData Pipelines
Last updated Oct 23, 2026. Interested? Apply on the company site.

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