A technology consulting firm is seeking a Data QA Tester with over 7 years of experience in data migration testing and ERP validation. The ideal candidate will be proficient in Python or PySpark for automation and have strong knowledge of ETL concepts and API testing methodologies. The role emphasizes collaboration with implementation teams to ensure data quality across various financial modules, with a mid-senior level of employment and a contract type offering. The position allows for remote work based in Virginia.
Qualifications
7+ years of experience as a Data QA Tester or similar.
Strong experience with ERP implementations and data migration.
Proficient in Python and/or PySpark for automation.
Responsibilities
Perform data migration validation and reconciliation.
Develop and execute test strategies and plans.
Validate ETL processes and ensure data quality.
Skills
Data QA Testing
ERP Implementations
Python
ETL Concepts
API Testing
SQL
Data Modeling
Tools
NetSuite
AWS
Postman
Job description
Responsibilities
Perform data migration validation and reconciliation between legacy systems, staging environments, and target ERP systems (e.g., NetSuite).
Validate data integration workflows, ensuring transformation logic, mapping rules, and business rules are correctly implemented.
Conduct end-to-end data verification across Finance and Accounting datasets.
Testing & QA Execution
Develop and execute Test Strategies, Test Plans, Test Cases, and Test Scripts.
Perform 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 Postman, Swagger, or comparable frameworks.