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

General Mills; Mumbai; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

General Mills is seeking a seasoned Data Engineer to design, build, and optimize data pipelines on Google Cloud Platform, leveraging SQL, Python, and data warehousing concepts. You will collaborate across global teams, partner with architects and stakeholders, and enhance data workflows using tools like BigQuery, dbt, and Airflow.

Ideal candidates have 5–8+ years in data engineering, strong communication, and experience with cloud storage platforms such as S3/Blob Storage and SAP governance

Qualifications

• 5–8+ years of data engineering experience in cloud environments.
• Hands-on with GCP and SQL, Python, and data warehousing basics.
• Experience with BigQuery, Composer, Cloud Functions, and dbt.
• Familiarity with data platforms like S3/Blob Storage and SAP data governance.

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, 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.

Skills

SQL

Python

Data warehousing

Stakeholder management

Communication

Education

Bachelor's degree

Tools

BigQuery

Composer

Cloud Functions

dbt

Airflow

Talend

Tidal

Linux

S3 / Blob Storage

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.

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
• 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.