Data Quality Assurance Analyst
4 weeks ago
Position : Data QA.
Notice : Immediate
Location : Remote(Contract Role)
Exp : 4- 9 Years
Key Responsibilities :
- Data Quality Testing : Perform thorough testing of data-related processes and workflows to ensure the accuracy, consistency, and completeness of data in databases, data warehouses, and reporting platforms.
- ETL Process Validation : Work closely with the ETL (Extract, Transform, Load) team to validate data pipelines and processes, ensuring data is correctly transformed and loaded into target systems.
- Test Data Creation : Develop and maintain realistic test data to simulate various data scenarios, covering edge cases and critical data points.
- Automation and Scripting : Design, implement, and maintain automated test scripts for data validation, reducing manual intervention and ensuring repeatability of tests.
- Defect Management : Track, document, and manage defects and issues found during testing; collaborate with development teams to prioritize and resolve them.
- Data Integrity Verification : Verify that data changes meet business requirements by comparing data from multiple sources and systems, identifying inconsistencies and anomalies.
- Regression Testing : Execute regression testing on existing data processes and systems whenever updates or changes are made to ensure no issues are introduced.
- Reporting and Documentation : Document test cases, test results, and data discrepancies in detail, ensuring clear and effective communication with stakeholders.
- Collaboration : Work closely with Data Engineers, Data Scientists, Business Analysts, and Product Teams to ensure data is accurate, consistent, and reliable for analytical and operational purposes.
- Continuous Improvement : Stay updated with industry best practices and tools for data testing, recommending improvements to existing test processes and methodologies.
Profile Requirements :
- 3+ years of experience as a Data Tester or QA Engineer
- Strong knowledge of software QA methodologies, tools and processes
- Experience with Programming languages such as Python
- Experience with SQL
- Knowledge in Data Warehousing and Data Lake concepts
Requirements and skills :
- Proven work experience in software development
- Proven work experience in software quality assurance
- Strong knowledge of software QA methodologies, tools and processes
- Experience in writing clear, concise and comprehensive test plans and test cases
- Hands-on experience with both white box and black box testing
- Hands-on experience with automated testing tools
- Solid knowledge of SQL and scripting
- Experience working in an Agile/Scrum development process
- Experience with performance and/or security testing is a plus
- BS/MS degree in Computer Science, Engineering or a related subject
Qualifications :
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience as a QA Engineer or in a similar role.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Ability to work in a fast-paced, agile environment
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