Data Engineer

General Mills; Pune District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

General Mills is seeking an experienced Enterprise Data Engineer to design and deliver cloud-based data solutions on GCP, enabling scalable data warehouses for the enterprise. You will build ETL pipelines, manage SQL queries, and collaborate with architects, solution managers, and analysts across a distributed global team.

The role requires strong communication, stakeholder management, and a hands-on approach to modern data engineering.

Qualifications

• 7-12+ years of experience in data engineering.
• Hands-on experience with cloud data engineering services.
• Understanding of SAP Landscape.
• Data Governance Tools experience.
• Basic understanding of Cyber Security requirements.
• Excellent communication skills—verbal and written.
• Excellent analytical skills.
• Excellent stakeholder management skills.
• SQL proficiency.
• Python proficiency.
• Data Warehousing concepts.
• Cloud (Storage, Modelling, Real time) with GCP preference.
• Data Storage experience (S3/Blob).
• dbt and data modelling concepts.

Responsibilities

• 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.

Skills

SQL

Python

Data modelling

Data warehousing

BigQuery

GCP

ETL

Stakeholder management

Communication skills

Cloud services

Airflow

dbt

Automation mindset

Tools

Airflow

dbt

Composer

Linux

Cloud Functions

BigQuery

Job description

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

• 7-12+ 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