Data Engineer I

ABOUT GENERAL MILLS

General Mills makes food the world loves, with more than 100 brands across six continents, including Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs. With over 155 years of heritage, General Mills continues to innovate while staying true to its purpose of being a force for good.

The General Mills India Center (GIC) in Mumbai serves as a global capability center, delivering business value, service excellence, and growth across Supply Chain, Digital & Technology, Innovation, Quality, Consumer & Market Intelligence, Sales Strategy, Finance, HR, and Shared Services. With 1,800+ professionals, GIC plays a critical role in enabling global transformation.

The Digital & Technology (D&T) organization leads enterprise-wide digital transformation through AI/ML, Data Engineering, Cloud, Automation, Cybersecurity, SAP S/4HANA, and Enterprise Architecture. The team operates in agile pods under the MillsWorks model, fostering innovation, collaboration, inclusion, and a Work with Heart culture.< /p>

JOB OVERVIEW

Function Overview

The Enterprise Data Development team designs and architects solutions to integrate, transform, and deliver enterprise data using modern cloud technologies, primarily GCP. The team enables a unified enterprise data layer by integrating internal and external data sources, supporting advanced analytics and actionable insights.

This role partners closely with business, analytics, and architecture teams to deliver end-to-end data solutions that combine process, technology, and business information to power General Mills corporate information factory.

KEY ACCOUNTABILITIES

• Design, develop, code, and support scalable data pipelines and data models on cloud platforms (GCP preferred)

• Build and support enterprise data warehouses and associated batch, real-time, and streaming data jobs

• Partner with business analysts, architects, and stakeholders to deliver business-driven data initiatives

• Lead or contribute to small-to-medium projects and support large enterprise data programs

• Actively mentor junior developers and contribute to team capability building

• Troubleshoot technical, data quality, and performance issues across the data ecosystem

• Participate in evaluation, implementation, and rollout of emerging big data and cloud technologies

• Promote automation, CI/CD, and continuous improvement to eliminate waste and streamline processes

• Proactively research new tools, frameworks, and techniques in data engineering

• Navigate ambiguity and manage multiple stakeholders and priorities effectively

• Contribute reusable assets and best practices to the broader General Mills data community

MINIMUM QUALIFICATIONS

• 5-12+ years of experience in ETL / Data Engineering, with at least 2+ years in cloud-based data platforms

• Experience acting as a technical or project lead on global initiatives

• Strong ability to coach, mentor, and guide development teams

• Proven track record of delivery accuracy, attention to detail, and deadline management

• Excellent analytical, problem-solving, and communication skills

• Self-motivated team player capable of overcoming complex challenges

TECHNICAL SKILLS

Expert Level

• GCP (Storage, Data Modeling, Real-Time Processing)

• BigQuery

• SQL

• Composer (Airflow)

• Cloud Functions

• Data Warehousing Concepts

• Cloud Storage (S3 / Blob equivalent)

Intermediate Level

• Python

• Kafka / Pub/Sub

Basic Level

• dbt

PREFERRED QUALIFICATIONS

• GCP Data Engineer Certification or equivalent GCP certifications

• Experience or understanding of the CPG / FMCG industry