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.

KEY ACCOUNTABILITIES

Design, build, and support GCP, ETL, and SQL solutions

Support data warehouses and related scheduled jobs

Analyze business requirements and improve process efficiency





Partner with architects, solution managers, and analysts to deliver data solutions

Work effectively across a distributed global team environment

Manage multiple stakeholders, priorities, and ambiguous situations

Troubleshoot issues with users, IT teams, vendors, and service providers

Lead small initiatives and contribute to enterprise project delivery

Drive automation and continuous improvement across processes

Train team members, IT functions, and business users on solutions and tools

MINIMUM QUALIFICATIONS

7–12+ years of experience as a Data Engineer or in a similar role

Strong hands-on experience in cloud data engineering, with GCP preferred

Expert-level skills in SQL, Python, and Data Warehousing concepts

Positive working knowledge of BigQuery, Composer, dbt, and cloud functions

Experience with ETL pipelines, job scheduling tools, and production support

Understanding of SAP landscape, data governance tools, and cybersecurity basics

Strong communication, analytical thinking, and stakeholder management skills

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 II (7–12 Years' Experience Required) (Powai)
🏢 General Mills
📍 Powai