Data Engineer II

Position Title

Data Engineer I – Data Engineering

Function/Group

Digital and Technology

Location

Pune

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

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 out

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 check out

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 and Enterprise Architecture. The MillsWorks initiative embodies an 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 a provided Link.

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 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

· 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

o   SQL

o   Python

o   Data Warehousing Concepts

·       Intermediate Level

o   Cloud (Storage, Modelling, Real time) – GCP Preferred

o   Data Storage (S3 / Blob Storage)

o   Big Query

o   SQL

o   Composer

o   Cloud Functions (Lambda/Azure function)

o   dBT

o    

·       Basic Level/Preferred

o   Data Modelling concepts

PREFERRED QUALIFICATIONS

·       GCP Data Engineer certification, GCP certification

·       Understanding of CPG industry