Overview
Design and execute comprehensive data quality testing strategies for ETL processes, Big Data, and data-intensive applications, including BAO, MDM, and data migration projects.
Responsibilities
- Develop a deep understanding of business requirements to design optimized test scenarios ensuring data quality and integrity.
- Plan and execute testing activities, including estimating work efforts, creating detailed test cases, and identifying test environment and test data requirements.
- Utilize manual and automated testing solutions to execute test cases, report status, and manage defect creation, triage, and resolution.
- Analyze test outcomes and leverage analytical and cognitive techniques to drive continuous improvements in data quality.
- Collaborate with developers, business analysts, and data architects to ensure testing aligns with business and technical objectives.
Skills
- Strong experience in ETL testing, Big Data testing, and data-intensive application testing.
- Familiarity with BAO, MDM, and data migration frameworks.
- Proficiency in test planning, test case design, and test data management.
- Hands-on experience with manual and automated testing tools for data validation and quality checks.
- Strong analytical, problem-solving, and data validation skills.
- Ability to communicate test results and data quality insights effectively to stakeholders.
- Knowledge of data governance, data profiling, and data quality best practices.