Senior Data Engineer - Cloud Supply Chain

Google India Pvt Ltd; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Google India Pvt Ltd in Bengaluru is seeking a Senior Data Engineer for Cloud Supply Chain, Data Engineering. You will design and implement scalable data pipelines on Google Cloud, ensuring data quality and timely analytics for global supply chain decisions.

You will write advanced SQL, work with BigQuery and data warehouses, and collaborate with cross‑functional teams to translate complex requirements into robust data solutions.

Qualifications

• Bachelor's degree and 5 years experience in data analysis, SQL and BigQuery.
• Strong knowledge of data pipelines, data quality, and governance.
• Excellent communication and collaboration skills with cross-functional teams.

Responsibilities

• Build scalable data pipelines with robust quality monitoring.
• Write complex SQL for extraction and transformation.
• Translate stakeholder data needs into actionable technical solutions.
• Create and maintain dashboards to communicate insights.
• Automate data processes using Python and SQL.
• Own Data Governance charter and mentor junior engineers.

Skills

SQL

BigQuery

Data analysis

Python

Leadership

Communication

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

GCP / Google Cloud Platform

Data warehouses

Job description

Senior Data Engineer, Cloud Supply Chain, Data Engineering

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 efficient 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 growth to ensure Google can continue to meet market and competitive goals. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Architecture and Pipelines: Build scalable data pipelines with robust quality monitoring to ensure accuracy and integrity across various data sources.
• Transformation and Analysis: Write complex SQL for extraction and transformation, powering automated reporting and quantitative analysis for key business decisions.
• Collaboration and Design: Translate stakeholder data needs into actionable technical solutions alongside cross-functional engineering and product teams.
• Visualization: Create and maintain dashboards to effectively communicate actionable insights and drive data-backed recommendations.
• Tooling and Automation: Automate data processes and build efficient tools using well-structured Python and SQL code.
• Governance and Mentorship: Own the Data Governance charter for compliance, and mentor junior engineers through technical guidance and code reviews.

Experience Level

Senior Level