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 valuable, a place to expand learning, explore recent 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.

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

5–8+ years of experience as a Data Engineer or in a similar role

Solid 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.

📌 Data Engineer I (5–8 Years' Experience Required) (Powai)
🏢 General Mills
📍 Powai