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Data Engineer

General Mills

On-site
Mumbai, India
Full-time
Mid Level
Senior
5+ yrs
Salary not listedPosted 4w ago

Real job — pulled straight from General Mills’s careers page · Verified July 18, 2026 · No reposts.

Job description

General Mills is hiring a Data Engineer — a full-time, based in Mumbai, India role. Apply directly on General Mills's careers page below.

Data Engineer I

Location: India-Mumbai-SPECTRA

Category: Digital & Technology

Employment Type: FULL_TIME

Tags: India

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success.

 

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 other 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, create, code, and support a variety of GCP, ETL & SQL solutions. 
  • Experience with agile techniques or methods 
  • Work effectively in a distributed global team environment. 
  • Effective technical & business communication with good influencing skills 
  • Analyze existing processes and user development requirements to ensure maximum efficiency 
  • Ability to manage multiple stakeholders, tasks and navigate through ambiguity & complexity 
  • Turn information into insight by consulting with architects, solution managers, and analysts to understand the business needs & deliver solutions 
  • Maintain strong technical skills and share knowledge with team members 
  • Work with system users, other members of the IT Department, software vendors, and service providers to resolve problems 
  • Support existing Data warehouses & related jobs. 
  • Task / Job Scheduling experience (Talend, Tidal, Airflow, Linux) 
  • Able to lead small projects/initiatives and contribute/lead effectively to the implementation of enterprise projects. 
  • Proactive research into up-to-date technology or techniques for development 
  • Should have automation mindset to embrace a Continuous Improvement mentality to streamline & eliminate waste in all processes. 
  • Train and educate internal team, IT functions, and business users 
  • Familiarity with real time and streaming data processes 

 

 

MINIMUM QUALIFICATIONS

  • 5-8+ years of relevant experience of working as Data Engineer or similar levels 
  • Hands on experience on cutting edge cloud data engineering services  
  • Understanding of SAP Landscape 
  • Data Governance Tools (Any) 
  • Basic understanding of Cyber Security requirements 
  • Excellent communication skills- verbal and written 
  • Excellent analytical skills 
  • Excellent stakeholder management skills 
  • Expert level 
  • SQL
  • Python
  • Data Warehousing Concepts
  • Intermediate Level 
  • Cloud (Storage, Modelling, Real time) – GCP Preferred
  • Data Storage (S3 / Blob Storage)
  • Big Query
  • SQL
  • Composer 
  • Cloud Functions (Lambda/Azure function)
  • dBT
  • Basic Level/Preferred  
  • Data Modelling concepts

 

PREFERRED QUALIFICATIONS

  • GCP Data Engineer certification, GCP certification 
  • Understanding of CPG industry 

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 other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

 

Responsibilities

 

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 other 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, create, code, and support a variety of GCP, ETL & SQL solutions. 
  • Experience with agile techniques or methods 
  • Work effectively in a distributed global team environment. 
  • Effective technical & business communication with good influencing skills 
  • Analyze existing processes and user development requirements to ensure maximum efficiency 
  • Ability to manage multiple stakeholders, tasks and navigate through ambiguity & complexity 
  • Turn information into insight by consulting with architects, solution managers, and analysts to understand the business needs & deliver solutions 
  • Maintain strong technical skills and share knowledge with team members 
  • Work with system users, other members of the IT Department, software vendors, and service providers to resolve problems 
  • Support existing Data warehouses & related jobs. 
  • Task / Job Scheduling experience (Talend, Tidal, Airflow, Linux) 
  • Able to lead small projects/initiatives and contribute/lead effectively to the implementation of enterprise projects. 
  • Proactive research into up-to-date technology or techniques for development 
  • Should have automation mindset to embrace a Continuous Improvement mentality to streamline & eliminate waste in all processes. 
  • Train and educate internal team, IT functions, and business users 
  • Familiarity with real time and streaming data processes 

 

 

MINIMUM QUALIFICATIONS

  • 5-8+ years of relevant experience of working as Data Engineer or similar levels 
  • Hands on experience on cutting edge cloud data engineering services  
  • Understanding of SAP Landscape 
  • Data Governance Tools (Any) 
  • Basic understanding of Cyber Security requirements 
  • Excellent communication skills- verbal and written 
  • Excellent analytical skills 
  • Excellent stakeholder management skills 
  • Expert level 
  • SQL
  • Python
  • Data Warehousing Concepts
  • Intermediate Level 
  • Cloud (Storage, Modelling, Real time) – GCP Preferred
  • Data Storage (S3 / Blob Storage)
  • Big Query
  • SQL
  • Composer 
  • Cloud Functions (Lambda/Azure function)
  • dBT
  • Basic Level/Preferred  
  • Data Modelling concepts

 

PREFERRED QUALIFICATIONS

  • GCP Data Engineer certification, GCP certification 
  • Understanding of CPG industry 

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Frequently asked questions

What skills are required for Data Engineer at General Mills?

The required skills for Data Engineer at General Mills include: GCP, ETL, SQL, Python, Data Warehousing, BigQuery, dbt, SAP, Cybersecurity, Airflow, Linux.

What is the seniority level for Data Engineer at General Mills?

Data Engineer at General Mills is a Mid Level / Senior level position.

How do I apply for Data Engineer at General Mills?

You can view the full description and apply for Data Engineer at General Mills on EchoJobs: https://echojobs.io/job/general-mills-data-engineer-i-l12qz.