Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Data Migration Tester role involves overseeing legacy PAS testing and collaborating with the RSA internal test team to ensure functional testing of the migrated data into the DXC C&S system. The position requires significant experience in data migration testing and is expected to last for at least six months. The role is based in London and operates in a hybrid working arrangement.
Key Responsibilities:
- Lead the planning, execution, and reporting of data migration testing activities.
- Collaborate with Data Migration, QA, Business, and Development teams to define test strategy, scope, and acceptance criteria.
- Design and implement robust test plans and test cases for data validation, transformation logic, reconciliation, and exception handling.
- Assess data readiness and test coverage.
- Define and enforce data quality metrics and KPIs for migration validation.
Key Skills:
- Data migration testing experience.
- Ability to collaborate with cross-functional teams.
- Experience in designing test plans and test cases.
- Knowledge of data validation and transformation logic.
- Understanding of data quality metrics and KPIs.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Role :Data Migration Tester
Location: London, UK(Hybrid)
Location:6 Months FTC
This will include overseeing aspects of legacy PAS testing which will be loaded into DXC C&S (Target PAS system) and working with the RSA internal test team to get C&S functionally tested with migrated data. Data migration testing experience is a must. This is likely to be at least a six-month engagement.
Responsibilities:
- Lead the planning, execution, and reporting of data migration testing activities.
- Collaborate with Data Migration, QA, Business, and Development teams to define test strategy, scope, and acceptance criteria.
- Design and implement robust test plans and test cases for data validation, transformation logic, reconciliation, and exception handling.
- Assess data readiness and test coverage.
- Define and enforce data quality metrics and KPIs for migration validation