Data Engineer I (5–8 Years' Experience Required)

General Mills; Mumbai; On-site; INR 1,600,000 - 2,600,000; Full time

Job summary

General Mills is seeking a Data Engineer to design, build, and support data pipelines on GCP, focusing on ETL, SQL, and data warehousing. You will collaborate with global teams to deliver scalable data solutions, optimize processes, and enable data-driven insights across the enterprise.

The role requires 5-8+ years of experience, strong SQL/Python skills, and knowledge of BigQuery, dbt, and cloud storage platforms.

Qualifications

• 5-8+ years of experience as a Data Engineer or similar role.
• Strong hands-on experience in cloud data engineering services, with GCP preferred.
• Experience with cloud storage and data platforms such as S3 / Blob Storage.
• Understanding of SAP landscape and Data Governance concepts.
• Strong communication and stakeholder management skills.

Responsibilities

• Design, build, and support GCP, ETL, and SQL solutions.
• Work effectively in a distributed global team environment.
• Partner with architects, solution managers, analysts, and stakeholders to deliver business solutions.
• Analyze processes and user requirements to improve efficiency and generate insights.
• Support existing data warehouses and scheduling tools like Talend, Tidal, Airflow, and Linux.
• Lead small projects, manage multiple stakeholders, and handle ambiguity and complexity.
• Drive automation and adoption of new technologies, and train team members.

Skills

SQL

Python

Data warehousing

BigQuery

Composer

Cloud Functions

dbt

Data modelling

Stakeholder management

Analytical thinking

Education

Bachelor's degree

Tools

Talend

Tidal

Airflow

Linux

Job description

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.

NEW possibilities. Bold thinking. Real heart. Build remarkable brands with remarkable people. At General Mills, we make food the world loves. Across 100+ markets, we come together to create, innovate and grow. Here, you’ll do meaningful work and help to lead the future of food at a company that stands for good. Watch with captions in other languages here.

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.

KEY ACCOUNTABILITIES

• Design, build, and support GCP, ETL, and SQL solutions
• Work effectively in a distributed global team environment
• Partner with architects, solution managers, analysts, and stakeholders to deliver business solutions
• Analyze processes and user requirements to improve efficiency and generate insights
• Support existing data warehouses, related jobs, and scheduling tools like Talend, Tidal, Airflow, and Linux
• Lead small projects, manage multiple stakeholders, and handle ambiguity and complexity
• Drive automation, continuous improvement, and adoption of new technologies
• Train team members, business users, and IT teams while sharing technical knowledge

MINIMUM QUALIFICATIONS

• Education: Minimum Degree Requirements: Bachelors (Full time from accredited Institute).
• Experience: 5-8+ years of experience as a Data Engineer or in a similar role
• Strong hands-on experience in cloud data engineering services, with GCP preferred
• Expertise in SQL, Python, and Data Warehousing concepts
• Good working knowledge of BigQuery, Composer, Cloud Functions, and dbt
• Experience with cloud storage and data platforms such as S3 / Blob Storage
• Understanding of SAP landscape, Data Governance tools, and Cyber Security requirements
• Strong communication, analytical thinking, and stakeholder management skills
• Basic understanding of data modelling concepts

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.