Data Quality Engineer

Key Accountabilities

• Design and execute test plans, test strategies, test cases, and test data for data, extract-transform-load (ETL), business intelligence, and related technology solutions.
• Review data models, data mappings, architecture documentation, and requirements to identify test coverage, risks, and validation needs.
• Write and execute SQL queries (inside BigQuery) to validate, reconcile, and compare data across source systems, transformations, and data warehouse targets in Google Cloud Platform (GCP).
• Perform validation of end to end data flow from source to destination including reports (Tableau Reports).
• Perform Data Quality Checks, and document results, defects, evidence, and recommendations.
• Collaborate with developers, business analysts, data analysts, data engineers and stakeholders to clarify requirements, troubleshoot issues, perform root-cause analysis, and drive resolution.
• Use appropriate test automation tools for extract-transform-load validation and identify opportunities to improve testing efficiency.
• Maintain accurate testing documentation, status reports, productivity metrics, escalations, and delivery sign-offs while meeting project milestones and quality standards.
• Contribute to continuous improvement, knowledge sharing, stakeholder responsiveness, and a positive, adaptable team environment.

Minimum Qualifications

• Education: Bachelor’s degree in computers and related fields.
• Experience: 5 to 7 years of experience in software quality engineering, data testing, extract-transform-load (ETL) testing, or a related area.
• Strong troubleshooting and root-cause analysis abilities.
• Strong understanding of the software development life cycle and multiple software engineering and testing methodologies.
• Proficiency in SQL, database testing, business intelligence testing, and data validation.
• Experience creating test cases and testing documentation from requirements or specifications, including for projects with limited development documentation.
• Familiarity with issue-tracking tools such as Jira or Azure DevOps.
• Well-developed communication and interpersonal skills, attention to detail, self-motivation, and the ability to work accurately in a fast-paced, changing environment.
• Ability to collaborate and communicate effectively with peers and stakeholders, with a continuous-improvement mindset and technical agility.

Preferred Qualifications

• Advanced capability in agile testing, test management, and database testing, including SQL.
• Working knowledge of extract-transform-load processes, test design techniques, and test planning.
• Foundational knowledge of application programming interfaces, artificial intelligence and machine learning, dbt, and Monte Carlo.
• ISTQB certification.
• Experience with Google Cloud Platform (GCP) and related services such as BigQuery or Cloud Functions.
• Knowledge of big data concepts, data warehouse structures, extract-transform-load processes, and data architecture principles.
• Basic knowledge of Python programing.
• Exposure to usage of GenAI tools in testing.
• Familiarity with continuous integration and continuous delivery pipelines and DevOps methodologies.
• Demonstrated alignment with General Mills values: do the right thing, play to win, grow and inspire, win as a team, and act boldly and move quickly.

ELIGIBILITY

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