Lead Data Engineer

Genl Mills India Priv LTD; Mumbai; On-site; INR 3,500,000 - 5,600,000; Full time

Job summary

General Mills India Private Limited seeks a Lead Data Engineer to shape data strategy and build scalable data pipelines. You will collaborate with analytics, architecture, and cross-functional partners to drive strategic initiatives and deliver robust data capabilities across global teams.

You will mentor engineers, define architectures, and deploy cutting-edge data engineering practices while advancing data observability and quality across cloud environments.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 12+ years of experience in data engineering, data architecture, or related technology roles.
• Strong experience with modern cloud platforms, preferably Google Cloud.
• Hands‑on experience in ETL processes, data warehousing, data quality, data observability, and structured and unstructured data systems.
• Ability to work directly with business partners to design solutions and explain architecture trade-offs clearly.
• Strong technical skills in SQL, Python, BigQuery, Composer, Dataflow, and dbt.
• Experience in Data Modelling, Data Observability, Orchestration, and Prompt Engineering.
• Familiarity with software engineering tools and delivery practices such as Git, GitHub Actions, Jira or Azure DevOps, and Agile ways of working.
• Strong problem-solving and analytical skills with attention to detail.
• Effective verbal and written communication skills, including the ability to explain technical concepts to non-technical stakeholders.
• Collaborative, adaptable, self-driven, and able to take ownership from project initiation through completion.

Responsibilities

• Act as a data and analytics leader with strong technical and domain expertise to guide engineering decisions and delivery outcomes.
• Lead project team members to deliver data capabilities.
• Partner with business analysts and architects to define technical architectures for strategic projects and initiatives.
• Evaluate, implement, and deploy emerging data engineering technologies, processes, and practices.
• Makes pipeline architecture decisions based on standardized patterns and technologies.
• Lead the design and implementation of scalable data pipelines, data modelling and data quality frameworks.
• Independently troubleshoot technical and performance issues and research root cause analysis in the cloud data ecosystem.
• Actively contributes work to the broader GMI data community and collaborates with others to refine common libraries.
• Mentor and guide data engineers, fostering innovation, technical excellence, and strong engineering practices within the team.
• Assist in hiring & onboarding

Skills

SQL

Python

BigQuery

Composer

Dataflow

dbt

Data Modelling

Data Observability

Orchestration

Prompt Engineering

Git

GitHub Actions

Jira

Azure DevOps

Agile

Education

Bachelor’s degree

Tools

Google Cloud

Kafka

Git

GitHub Actions

Jira

Azure DevOps

Job description

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

OVERVIEW

As a Lead Data Engineer, you will help shape how connected data drives business action across General Mills by designing scalable, sustainable data solutions and advancing modern data engineering practices. You will work closely with data engineers, business analysts, architects, and cross-functional partners to define technical direction, enable strategic initiatives, and bring new data capabilities to life across global teams. This is a strong opportunity to influence data strategy, modernize the data engineering ecosystem, and mentor technical talent in a highly collaborative environment.

KEY ACCOUNTABILITIES

• Act as a data and analytics leader with strong technical and domain expertise to guide engineering decisions and delivery outcomes.
• Lead Project team members to deliver data capabilities
• Partner with business analysts and architects to define technical architectures for strategic projects and initiatives.
• Evaluate, implement, and deploy emerging data engineering technologies, processes, and practices.
• Makes pipeline architecture decisions based on standardized patterns and technologies
• Lead the design and implementation of scalable data pipelines, data modelling and data quality frameworks.
• Independently troubleshoot technical and performances issues and research root cause analysis in the cloud data ecosystem
• Actively contributes work to the broader GMI data community and collaborates with others to refine common libraries
• Mentor and guide data engineers, fostering innovation, technical excellence, and strong engineering practices within the team.
• Assist in hiring & onboarding

MINIMUM QUALIFICATIONS

• Education: Bachelor’s degree or equivalent practical experience in a relevant field.
• 12+ years of experience in data engineering, data architecture, or related technology roles.
• Strong experience with modern cloud platforms, preferably Google Cloud.
• Hands‑on experience in ETL processes, data warehousing, data quality, data observability, and structured and unstructured data systems.
• Ability to work directly with business partners to design solutions and explain architecture trade‑offs clearly.
• Strong technical skills in SQL, Python, BigQuery, Composer, Dataflow, and dbt.
• Experience in Data Modelling, Data Observability, Orchestration, and Prompt Engineering.
• Familiarity with software engineering tools and delivery practices such as Git, GitHub Actions, Jira or Azure DevOps, and Agile ways of working.
• Strong problem-solving and analytical skills with attention to detail.
• Effective verbal and written communication skills, including the ability to explain technical concepts to non‑technical stakeholders.
• Collaborative, adaptable, self-driven, and able to take ownership from project initiation through completion.

PREFERRED QUALIFICATIONS

• Strong hands‑on coding skills in Python and SQL.
• Experience developing procedures and scripts for data loading, transformation, and migration.
• Familiarity with Kafka and distributed computing tools.
• Broader experience with cloud technologies, with Google Cloud preferred.
• Strong awareness of AI and its application in data engineering.

ELIGIBILITY

• Applicants must meet minimum age qualifications in the country in which the job is located.

New possibilities. Bold thinking. Real heart. Build remarkable brands with remarkable people. At General Mills, we make food the world loves. Across 100+ markets, we come together to create, innovate and grow. Here, you’ll do meaningful work and help to lead the future of food at a company that stands for good.

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