General Mills

Senior Data Engineer (10–12 Years' Experience Required)

India · Hybrid · Full time

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About the role

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EmployerGeneral Mills
LocationIndia
Work styleHybrid
Employment typeFull time
Employer posted7 Aug 2026

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

OVERVIEW

The Enterprise Data Development team is responsible for designing & architecting solutions to integrate & transform business data into Data Warehouse to deliver data layer for the Enterprise using cutting edge cloud technologies like GCP. We design solutions to meet the expanding need for more and more internal/external information to be integrated with existing sources; research, implement and leverage new technologies to deliver more actionable insights to the enterprise. We integrate solutions that combine process, technology landscapes and business information from the core enterprise data sources that form our corporate information factory to provide end to end solutions for the business.

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KEY ACCOUNTABILITIES

Design, build, and support cloud-based data pipelines and data models, with GCP preferred

Partner with business analysts, architects, and project stakeholders to deliver business initiatives

Support existing data warehouses and related jobs

Troubleshoot technical and performance issues across the data environment

Lead small initiatives and contribute to enterprise project implementation

Mentor team members, build domain knowledge, and document processes

Evaluate new tools, technologies, and big data processes to improve delivery

Drive automation, continuous improvement, and effective problem-solving in ambiguous situations

MINIMUM QUALIFICATIONS

Education: Bachelor's or Master's degree in Computer Science, Information Systems, Software Engineering, or a related quantitative discipline.

10–12+ years of experience in ETL and data engineering, with at least 4+ years in cloud technologies.

Proven experience as a technical or project lead for global initiatives

Strong ability to mentor developers and guide team delivery

Expertise in GCP, BigQuery, SQL, Composer, Cloud Functions, and Data Warehousing concepts

Working knowledge of Python, Kafka or Pub/Sub, and data storage tools such as S3 or Blob Storage

Strong analytical skills with close attention to detail and delivery accuracy

Ability to identify risks, manage timelines, and make timely project decisions

Strong communication and stakeholder management skills, with the ability to build effective working relationships

PREFERRED QUALIFICATIONS

GCP Data Engineer certification, GCP certification

Understanding of CPG industry

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.

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