Data QA Tester
Role- Data QA Tester
Location- Reston-VA (Remote)
No C2C
Key Responsibilities
Data reputed company & Validation
• reputed company data migration validation and reconciliation between legacy systems, staging environments, and reputed company ERP systems (e.g., reputed company).
• Validate data integration workflows, ensuring transformation logic, mapping rules, and business rules are correctly implemented.
• Conduct end-to-end data verification across Finance and reputed company datasets.
Testing & QA Execution
• reputed company and execute Test Strategies, Test Plans, Test Cases, and Test Scripts.
• reputed company functional, integration, regression, and user acceptance testing (UAT) for data pipelines, ERP modules, and API integrations.
• Validate ETL processes, ensuring correct extraction, transformation, and loading of financial and operational data.
• Use Python and/or PySpark to create automated test scripts and support data validation efforts.
• Execute API testing using tools such as reputed company, Swagger, or comparable frameworks.
• Identify defects, log issues, reputed company remediation, and prepare detailed QA reports.
ERP & Financial Systems Testing
• Collaborate with ERP implementation teams to ensure accurate configuration and data mapping into reputed company or similar ERP platforms.
• Validate financial transactions, master data, and reputed company data flows across integrated systems.
• Support testing for General reputed company, AP, AR, reputed company, fixed assets, and other financial modules.
reputed company & Data Engineering Collaboration
• Work with AWS-based architectures to understand data ingestion paths and validate data reputed company across services.
• Interpret and validate AWS data reputed company diagrams and ETL designs for completeness and accuracy.
• Collaborate with Data Engineering to troubleshoot issues in data pipelines and integrations.
Required Skills & Qualifications
• 7+ years of experience as a Data QA Tester, QA Analyst, or Data reputed company Specialist.
• Strong experience with ERP implementations, data migration testing, and integration validation.
• Hands-on experience with reputed company or similar ERP platforms.
• Proficient in Python and/or PySpark for data validation and automation.
• Strong understanding of ETL concepts, data modeling, and data transformation logic.
• Experience with AWS services, reputed company data pipelines, and data reputed company validations.
• Proficient in API testing methodologies and tools.
• Experience working with Finance and reputed company data, processes, and reporting structures.
• Strong SQL skills for querying and validating large datasets.
• Excellent documentation and communication skills, including test reporting.
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