Minimum qualifications:
- Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.
- 5 years of experience in data analysis, database querying (e.g., SQL), and BigQuery.

Preferred qualifications:
- Data Engineering and Governance: 12 years of experience leading data engineering and governance, defining policies, ensuring compliance, and managing metadata systems.
- Programming and Systems Design: Proficient in Python, complex system design, and deploying solutions across GCP, data warehouses, and quality tools.
- Leadership and Collaboration: Proven track record of leading large-scale technical projects, mentoring junior engineers, and driving collaborative problem-solving.
- Analytics and ML: Expertise in large-scale data analysis, statistics, and machine learning model development, with Data Center or Supply Chain domain knowledge.
- Communication: Exceptional ability to clearly translate and explain complex technical concepts to various audiences.

About the job
The Google Cloud team helps companies,



schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

The Cloud Supply Chain Data Engineering, End-to-End Systems and Analytics team is chartered to provide the most effective systems and analytics enabling faster decision making and throughput time for Google Cloud's Supply Chain. As Google Cloud continues to scale, this team’s work will contribute to the ongoing product, process and capability gr

📌 Senior Data Engineer, Cloud Supply Chain, Data Engineering (Bengaluru)
🏢 Google
📍 Bengaluru