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Sr. D&T Quality Engineer

Job in 400001, Mumbai, Maharashtra, India
Listing for: Confidential
Full Time position
Listed on 2026-02-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Job Description & How to Apply Below
At General Mills, great decisions start with great data. We are seeking a  Senior Data Quality Assurance Leader  to help ensure our data is as reliable and high quality as the iconic brands we serve every day.

If you enjoy working with complex data ecosystems and want to make a meaningful impact within a global food company, this role may be an excellent fit.

Key Accountabilities

Lead end-to-end Data Quality Assurance across multiple data domains and platforms
Design, write, and execute test cases for ETL pipelines, BI reports, and data validation
Perform unit, integration, and regression testing to ensure data accuracy and consistency
Use strong SQL and Big Data expertise to identify data issues and perform root cause analysis
Collaborate closely with developers, product owners, and business stakeholders to resolve data quality challenges
Lead complex QA initiatives involving multiple tools, technologies, and business domains
Contribute to process improvements, internal initiatives, recruitment, and buddy programs
Take ownership and work independently in a fast-paced, Agile environment

Minimum Qualifications

Full-time graduation degree
10+ years of experience in Data Quality Assurance or a related data testing role
Strong hands-on experience in:
Data testing and ETL testing
Test case design and execution
SQL querying and database testing
Experience working with Big Data technologies, including Big Query
Strong analytical, problem-solving, and troubleshooting skills
Excellent communication and collaboration skills

Preferred Qualifications

Master's degree
ISTQB certification preferred
Expert-level experience in:
ETL processes
Test design techniques and test planning
Agile testing
BI report testing
Intermediate experience with:
Test management tools
Database and API testing
Basic exposure to AI/ML, dbt, and Monte Carlo

Experience with Google Cloud Platform (GCP), especially Big Query
Understanding of data warehousing concepts, ETL frameworks, and data architecture
Familiarity with CI/CD pipelines and Dev Ops practices

If you are excited about working with data that supports some of the world's most loved food brands, we would be delighted to hear from you.

Warm regards,

General Mills Talent Acquisition Team – India
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