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

- Robust 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

📌 Data Engineer II (Mumbai)
🏢 General Mills
📍 Mumbai