Data Quality Assurance Specialist
2 weeks ago
We are seeking a highly skilled and motivated Data QA Engineer to join our team at IS&T IT Services. As a Data QA Engineer, you will play a key role in ensuring the quality and reliability of our data processing pipelines.
Key Responsibilities:- Manage and track test cases and defects using Azure DevOps.
- Write clear, detailed defect reports, including actual vs. expected behavior.
- Develop and implement automated test cases for user stories and defects within Azure DevOps, ensuring the integrity of ETL/ELT pipelines.
- Conduct comprehensive manual and automated testing of data pipelines and transformations to detect defects and inconsistencies.
- Collaborate with development and product teams to understand data requirements, transformations, and analytic processes, providing proactive feedback.
- Enhance testing processes, methodologies, and tools related to data quality, analytics, and DevOps integration.
- Perform regression testing to verify bug fixes and new features across multiple releases.
- Strong knowledge of software testing methodologies, tools, and processes with a focus on data validation, analytics testing, and DevOps integration.
- Minimum of 5 years of experience as a QA Engineer, with demonstrated ability in writing clear and concise test cases and documentation.
- At least 3 years of specialized experience in data quality testing, including expertise in ETL/ELT processes and data quality frameworks.
- Proficiency in writing and executing basic-to-intermediate SQL queries.
- Experience working in an Agile development environment, with the ability to adapt to changing requirements and priorities.
- Minimum of 2 years' experience with Git version control systems (GitHub, GitLab, Azure DevOps).
- At least 3 years of hands-on experience using Azure DevOps for automated test case management and issue tracking.
- Familiarity with Continuous Integration/Continuous Deployment (CI/CD) pipelines, with at least 3 years of experience working in CI-driven teams.
- Strong analytical and problem-solving skills, with a focus on data accuracy and DevOps efficiency.
- Excellent communication skills, enabling effective collaboration with cross-functional teams.
Preferred Qualifications:
- Experience with DBT (Data Build Tool) is a plus.
- Experience with CI/CD pipelines is highly desirable.
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