Data Engineer II

ABOUT GENERAL MILLS

We make foodthe world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Haagen-Dazs, we have been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.

How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate.

us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out

General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.

With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC), Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI), Global Shared Services (GSS), Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out

We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.

Job Overview

Function Overview

In partnership with our cross-functional partners, ITQ innovates and develops products that meet the ever-changing needs of our consumers and enables long-term business growth. We identify and develop technologies that shape and protect our businesses today a nd into the future. ITQ operates across three organizations: Global Applications, Capabilities COEs, and Shared Services & Operations

For more details about General Mills please visit this

Purpose of the role

The Global Knowledge Services (GKS) organization catalyzes the creation, transfer, and application of knowledge to ensure ITQ succeeds at its mission of driving internal and external innovation, developing differentiated technology, and engendering trust through food safety and quality.

The scientists in the Statistics and Analytics Program Area will collaborate with US and India GKS team members to deliver high value statistical work that advances ITQ initiatives in consumer product research, health and nutrition science, research and development, and quality improvement.

The Data Scientist II in this program area will be responsible for: designing, building, and maintaining scalable data pipelines and infrastructure to support advanced analytics, data science, and business intelligence across our organization leveraging GCP services. This role requires close collaboration with statisticians, data scientists, and BI developers to ensure timely, reliable, and quality data delivery that drives insights and decision-making.

Key Accountabilities

70%of Time-Excellent Technical Work

• Design, develop, and optimize data pipelines and ETL/ELT workflows using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.)
• Build and maintain data architecture that supports structured and unstructured data from multiple sources
• Work closely with statisticians and data scientists to provision clean, transformed datasets for advanced modeling and analytics
• Enable self-service BI through efficient data modeling and provisioning in tools like Looker, Power BI, or Tableau
• Implement data quality checks, monitoring, and documentation to ensure high data reliability and accuracy
• Collaborate with DevOps/Cloud teams to ensure data infrastructure is secure, scalable, and cost-effective
• Support and optimize workflows for data exploration, experimentation, and productization of models
• Participate in data governance efforts, including metadata management, data cataloging, and access controls

15%of Time-Client Consultation and Business Partnering

• Work effectively with clients to identify client needs and success criteria, and translate into clear project objectives, timelines, and plans.
• Be responsive and timely in sharing project updates, responding to client queries, and delivering on project commitments.
• Clearly communicate analysis, conclusions, insights, and conclusions to clients using written reports and real-time meetings.

10%of Time-Innovation, Continuous Improvement (CI), and Personal Development

• Learn and apply a CI mindset to work, seeking opportunities for improvements in efficiency and client value.
• Identify new resources, develop new methods, and seek external inspiration to drive innovations in our work processes.
• Continually build skills and knowledge in the fields of statistics, and the relevant sciences.

5% of Time-Administration

• Participate in all required training (Safety, HR, Finance, CI, other) and actively GKS, and ITQ meetings, events, and activities.
• Complete other administrative tasks as required.

Minimum Qualification

• Minimum Degree Requirements: Masters from an accredited university
• Minimum 6 years of related experience required

Specific Job Experience or Skills Needed

For Global Knowledge Services:

• Ability to effectively work cross-functionally with internal/global team members.
• High self-motivation, with the ability to work both independently and in teams.
• Excels at driving projects to completion, with attention to detail.
• Ability to exercise judgment in handling confidential and proprietary information.
• Ability to effectively prioritize, multi-task, and execute tasks according to a plan. Able to work on multiple priorities and projects simultaneously.
• Demonstrated creative problem-solving abilities, attention to detail, ability to think outside the box.
• 6+ years of experience in data engineering roles, including strong hands-on GCP experience.
• Proficiency in GCP services like BigQuery, Cloud Storage, Cloud Composer (Airflow), Dataflow, Pub/Sub.
• Strong SQL skills and experience working with large-scale data warehouses.
• Solid programming skills in Python and/or Java/Scala
• Experience with data modeling, schema design, and performance tuning
• Familiarity with CI/CD, Git, and infrastructure-as-code principles (Terraform preferred)
• Strong communication and collaboration skills across cross-functional teams

Preferred Qualifications

• Preferred Major Area of Study: Master's degree in Computer Science, Engineering, Data Science, or a related field
• Preferred Professional Certifications: GCP
• Preferred 6 years of related experience