Description

 Key Responsibilities

Data Quality & Validation

• 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.
• Identify defects, log issues, track remediation, and prepare detailed QA reports.

ERP & Financial Systems Testing

• Collaborate with ERP implementation teams to ensure accurate configuration and data mapping into NetSuite or similar ERP platforms.
• Validate financial transactions, master data, and accounting data flows across integrated systems.
• Support testing for General Ledger, AP, AR, revenue, fixed assets, and other financial modules.

Cloud & Data Engineering Collaboration

• Work with AWS-based architectures to understand data ingestion paths and validate data flow across services.
• Interpret and validate AWS data flow 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 Quality Specialist.
• Strong experience with ERP implementations, data migration testing, and integration validation.
• Hands-on experience with NetSuite 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, cloud data pipelines, and data flow validations.
• Proficient in API testing methodologies and tools.
• Experience working with Finance and Accounting data, processes, and reporting structures.
• Strong SQL skills for querying and validating large datasets.
• Excellent documentation and communication skills, including test reporting

Key Skills

Education

Any Gradute