Data Engineer I

Position Title Data Engineer I

Function/Group Digital and Technology

Location Pune

Shift Timing Regular

Role Reports to Reporting 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 us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details, visit: www.generalmills.com 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. With our team of 1800+ professionals, we deliver superior value across the areas of Supply Chain (SC), Digital & Technology (D&T), Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI), Global Shared Services (GSS), Finance Shared Services (FSS), and Human Resources Shared Services (HRSS). For more details, visit: www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.

Job Overview Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating Closely With Global Business Teams, The Focus Is On Understanding Business Models And Identifying Opportunities To Leverage Technology For Increased Efficiency And Disruption. The Team's Expertise Spans a Wide Range Of Areas, Including

• AI/ML
• Data Science
• IoT
• NLP
• Cloud
• Infrastructure
• RPA and Automation
• Digital Transformation
• Cyber Security
• Blockchain
• SAP S4 HANA
• Enterprise Architecture The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the provided link. Purpose of the Role The Enterprise Data Development team is responsible for designing and architecting solutions to integrate and transform business data into Data Warehouse platforms to deliver enterprise data capabilities using cutting-edge cloud technologies such as GCP. We design solutions to meet the expanding need for more internal and 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 processes, technology landscapes, and business information from 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.
• Seek to learn new skills, mentor newer team members, build domain expertise, and document processes.
• Actively build knowledge of D&T resources, people, and technology.
• Participate in the evaluation, implementation, and deployment of emerging tools and processes in the big data space.
• Collaboratively troubleshoot technical and performance issues in the data space.
• Lean into ambiguity and partner with others to find solutions.
• Identify opportunities to contribute work to the broader GMI data community.
• Manage multiple stakeholders, tasks, and navigate through ambiguity and complexity.
• Lead small projects and initiatives and contribute effectively to the implementation of enterprise projects.
• Support existing data warehouses and related solutions.
• Demonstrate familiarity with real-time and streaming data processes.
• Conduct proactive research into up-to-date technologies and development techniques.
• Embrace a Continuous Improvement mindset to streamline processes and eliminate waste through automation.

Minimum Qualifications

• Identified as the technical/project lead for global projects.
• Actively coach and mentor teams of developers.
• Proactively identify potential issues, deadline slippages, and opportunities within projects and take timely decisions.
• Demonstrate strong attention to detail and delivery accuracy.
• Collaborate with business stakeholders and develop strong working relationships.
• Self-motivated team player with the ability to overcome challenges and achieve desired results.
• 5–10 years of total experience in ETL/Data Engineering, with 4+ years of relevant cloud experience.
• Excellent verbal and written communication skills.
• Strong analytical and problem-solving abilities. Technical Skills Expert Level
• Cloud (Storage, Modelling, Real Time) – GCP Preferred
• Data Storage (S3 / Blob Storage)
• BigQuery
• SQL
• Composer
• Cloud Functions (Lambda/Azure Functions)
• Data Warehousing Concepts Intermediate Level
• Python
• Kafka
• Pub/Sub Basic Level
• dBT

Preferred Qualifications

• GCP Data Engineer Certification.
• Other relevant GCP Certifications.
• Understanding of the CPG industry.