Associate Data Engineer

Mumbai, Maharashtra Powai, Maharashtra
Permanent
Full-time

17 days ago

Job Description:ABOUT GENERAL MILLSWe 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 the 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 check outGeneral 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 check outWe advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.JOB OVERVIEWFunction OverviewThe 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 and 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 providedPurpose of the roleThe Enterprise Data Development team is responsible for designing and architecting solutions to integrate and transform business data into a data warehouse, delivering a 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 & processes 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 jobs.

Familiarity with real-time and streaming data processes

Proactive research into up-to-date technology or techniques for development

Should have an 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 and have 5+ years of total experience in ETL/Data Space with 2+ years of relevant experience in the Cloud Space
Actively coaches and mentors’ team of developers while proactively identifying potential issues/deadline slippage /opportunities in projects/tasks and takes timely decisions
Demonstrates a strong affinity towards paying attention to details and delivery accuracy with strong analytical skills and communication (verbal & written)
Collaborates with the business stakeholders and develops strong working relationships
Self-motivated team player and should have the ability to overcome challenges and achieve desired results
Expert level of experience in Cloud (Storage, Modeling, real time), Data Storage (S3/Blob Storage), Big Query, SQL, Composer, Cloud Functions (Lambda/Azure Function), Data Warehousing
Intermediate level of experience with Python, Kafka, Pub/Sub, dBT

General Mills

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