Job Description :

- Position Title**
- Sr. Data Engineer - Data Engineering - Function/Group
- Digital and Technology - Location
- Mumbai - Shift Timing
- Regular - Role Reports to
- D&T; Manager - Remote/Hybrid/in-Office
- Hybrid

- ABOUT GENERAL MILLS :

- We make food the world loves: 100 brands. In 100 countries. Across six continents.**With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.

How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate

General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.

We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.

- Job Overview Role - Sr. Data Engineer - Data Engineering : Location: Mumbai, Hybrid eligible**

Function Overview

Purpose of the role : 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 data pipelines and models on any cloud technology (GCP preferred)
- Partner with business analysts, architects, and other key project stakeholders to deliver business initiatives
- Seeks to learn new skills, mentor newer team members, build domain expertise and document processes
- Actively builds knowledge of D&T; resources, people, and technology
- Participate in the evaluation, implementation and deployment of emerging tools & process in the big data space
- Collaboratively troubleshoot technical and performance issues in the data space
- Leans into ambiguity and partners with others to find solutions
- Ability to identify opportunities to contribute work to the broader GMI data community
- Ability to manage multiple stakeholders, tasks and navigate through ambiguity & complexity




- Able to lead small projects/initiatives and contribute/lead effectively to the implementation of enterprise projects.
- Support existing Data warehouses & related
- Familiarity with real time and streaming data processes
- 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.

MINIMUM QUALIFICATIONS

- Identified as the technical /project lead for global projects
- Actively coaches and mentors’ team of developers
- Pro-actively identifies potential issues / deadline slippage /opportunities in projects/tasks and takes timely decisions
- Demonstrates strong affinity towards paying attention to details and delivery accuracy
- Collaborate with the business stakeholders and develop robust working relationships
- Self-motivated team player and should have ability to overcome challenges and achieve desired results
- 10-12+ years of total experience in ETL/Data Space, 4+ relevant experience in Cloud Space
- Excellent communication skills
- verbal and written
- Excellent analytical skills Expert Level
- Cloud (Storage, Modelling, Real time) - GCP Preferred
- Data Storage (S3 / Blob Storage)
- Big Query
- SQL
- Composer
- Cloud Functions (Lambda/Azure function)
- Data Warehousing Concepts Intermediate Level
- Python
- Kafka, Pub/Sub Basic Level
- dBT

PREFERRED QUALIFICATIONS :

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

📌 Sr. Data Engineer (Mumbai)
🏢 General Mills
📍 Mumbai