Data Engineer II

General Mills; Mumbai, Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

General Mills in Mumbai, India is seeking a data engineer to design, build, and support cloud-based data pipelines and data warehouses. You will collaborate with architects, solution managers, and analysts across a distributed global team to deliver robust data solutions that meet business needs.

The role requires strong SQL, Python, and BigQuery experience, with hands-on use of GCP, Composer, dbt, and cloud functions.

Qualifications

• Education: Bachelor's degree or equivalent practical experience.
• Experience: 7+ years as a Data Engineer or similar role.
• Strong hands-on cloud data engineering with GCP preferred.
• Expert SQL, Python, and data warehousing concepts.
• Working knowledge of BigQuery, Composer, dbt, and cloud functions.
• Experience with ETL pipelines, scheduling tools, and production support.
• Understanding of SAP landscape, data governance tools, and cybersecurity basics.
• Strong communication, analytical thinking, and stakeholder management.

Responsibilities

• Design, build, and support GCP, ETL, and SQL solutions.
• Support data warehouses and related scheduled jobs.
• Analyze business requirements and improve process efficiency.
• Partner with architects, solution managers, and analysts to deliver data solutions.
• Work effectively across a distributed global team environment.
• Manage multiple stakeholders, priorities, and ambiguous situations.
• Troubleshoot issues with users, IT teams, vendors, and service providers.
• Lead small initiatives and contribute to enterprise project delivery.
• Drive automation and continuous improvement across processes.
• Train team members, IT functions, and business users on solutions and tools.

Skills

SQL

Python

GCP

Data Warehousing

ETL pipelines

BigQuery

dbt

Composer

Cloud Functions

Stakeholder management

Communication

SAP landscape

Cybersecurity basics

Education

Bachelor's degree in a relevant field

Tools

GCP

BigQuery

Composer

dbt

Cloud Functions

SAP

Job description

Role & responsibilities

KEY ACCOUNTABILITIES

• Design, build, and support GCP, ETL, and SQL solutions
• Support data warehouses and related scheduled jobs
• Analyze business requirements and improve process efficiency
• Partner with architects, solution managers, and analysts to deliver data solutions
• Work effectively across a distributed global team environment
• Manage multiple stakeholders, priorities, and ambiguous situations
• Troubleshoot issues with users, IT teams, vendors, and service providers
• Lead small initiatives and contribute to enterprise project delivery
• Drive automation and continuous improvement across processes
• Train team members, IT functions, and business users on solutions and tools

MINIMUM QUALIFICATIONS

• Education : Bachelors degree or equivalent practical experience in a relevant field.
• Experience : 712+ years of experience as a Data Engineer or in a similar role
• Strong hands-on experience in cloud data engineering, with GCP preferred
• Expert-level skills in SQL, Python, and Data Warehousing concepts
• Good working knowledge of BigQuery, Composer, dbt, and cloud functions
• Experience with ETL pipelines, job scheduling tools, and production support
• Understanding of SAP landscape, data governance tools, and cybersecurity basics
• Strong communication, analytical thinking, and stakeholder management skills

PREFERRED QUALIFICATIONS

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

Preferred candidate profile