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Role & responsibilities

Role Descriptions: - Validate end-to-end data migration from CSV/flat files to Salesforce Life Sciences Cloud. - Perform data validation and reconciliation using SQL queries against source and target systems. - Design and execute test cases for data migration| ETL flows| and transformations. - Validate data mapping rules| transformation logic| and business rules. - Conduct functional testing and data integrity testing across systems. - Identify| log| and track data defects and migration issues. - Perform SIT| UAT support| and regression testing. - Ensure data completeness| accuracy| and referential integrity. - Validate large datasets and batch processing outputs. - Collaborate with ETL (Datastage) and Salesforce teams for issue resolution. - Prepare test scenarios| test data| and validation reports. - Support cutover validation and post-deployment data verification. - Maintain QA documentation test cases| RTM| defect logs| validation reports
Essential Skills: - Experienced PeopleSoft Tester / QA Analyst supporting enterprise data migration programs. - Responsible for validating data migration from legacy/flat file sources into Salesforce Life Sciences Cloud. - Involves testing across ETL pipelines (Datastage)| SQL validation| and data reconciliation. - Ensures data accuracy| completeness| and integrity across target systems. - Works closely with ETL developers| Salesforce teams| and business stakeholders. - Focus on functional| data validation| integration| and migration testing. - Exposure to Life Sciences domain (regulated environment) with high data quality standards.
Desirable Skills:
Keyword:
Skills: IBM InfoSphere DataStage~Data Migration

Preferred candidate profile

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