Test Data Strategy Development : Develop, implement, and maintain effective test data strategies and processes for all types of testing, including functional, regression, performance, security, and UAT.
Data Provisioning : Provision and manage test data sets in various testing environments, ensuring alignment with project requirements and test cases.
Test Data Generation : Generate synthetic test data when real data cannot be used, ensuring data is comprehensive, diverse, and accurately represents business scenarios.
Data Masking & Security : Apply data masking and data anonymization techniques to protect sensitive data and ensure compliance with data privacy regulations (e. g. , GDPR, HIPAA).
Test Environment Management : Work closely with the infrastructure and QA teams to ensure that the correct test data is available and accessible in the testing environments as needed.
Data Quality Assurance : Ensure test data is accurate, relevant, and complete for all testing activities. Monitor the consistency and integrity of the test data throughout the testing lifecycle.
Collaboration : Collaborate with developers, business analysts, and other stakeholders to understand data requirements and create/modify test data accordingly.
Test Data Maintenance : Continuously monitor and refresh test data to meet evolving project requirements, especially for long-term testing cycles.
Documentation & Reporting : Maintain documentation for test data requirements, creation processes, and security protocols. Report on test data metrics and any issues encountered during test data management.