Consultant

 Lead and manage end-to-end data testing activities across multiple projects and initiatives.

 Define, design, and implement comprehensive test strategies and test plans based on

business and technical requirements.

 Design, develop, and execute test cases and functional testing scenarios in UAT and

Production environments.

 Perform ETL and data validation testing to ensure data accuracy, completeness,

consistency, and integrity.

 Develop and execute complex SQL queries for data validation, reconciliation, and quality

assurance based on Source-to-Target Mapping (STTM) documents.

 Validate data loads, transformations, and data integrity across source and target systems.

 Collaborate closely with business stakeholders, developers, and project teams to

understand requirements and clarify testing expectations.

 Identify, analyze, and document defects, discrepancies, and data quality issues.

 Raise and track defects in JIRA and coordinate with cross-functional teams for timely

resolution.

 Prepare and maintain test documentation, test execution reports, and quality metrics.

 Ensure testing deliverables are completed on schedule and meet defined quality standards.

 Strong SQL development and data validation expertise

 ETL Testing and Data Warehouse Testing

 Data Quality and Data Integrity Validation

 Cloud Data Platform Testing

 Test Strategy, Test Planning, and Test Execution

 Defect Management using JIRA

 Functional, Integration, and UAT Testing

 Proven experience in data testing, ETL validation, and data quality assurance.

 Experience handling multiple projects and coordinating with cross-functional stakeholders

in Agile environments.

 PySpark (Nice to Have)

 Experience with modern cloud data platforms (Azure/AWS/GCP)

 Knowledge of data warehousing concepts and source-to-target data mapping (STTM)