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)