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 DevOps 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
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 DevOps 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