- Evaluate the quality of data received from data sources to ensure that it meets company standard

- Review Data Models, Data Mappings, and Architectural Documentation to execute effective system integration testing.

- Work closely with Business Analysts, Architects, Development team and Product Owners to ensure data housed in multiple source systems is loaded to target accurately.

- Develops validation scripts for automated execution, while creating actionable data quality reports that measure trends over time.

- Build new scripts and troubleshoot existing scripts. Solve complex record and run issues including complex correlation problems

- Verify and validate data accuracy, completeness, and consistency using ETL tools and SQL queries.

- Analyzes and troubleshoots erroneous results, determines the root cause of defects, logs the defects JIRA/QTest and enables defect management, including working with the development team on the resolution of Software related defects

- Drive opportunities and lead efforts to improve existing test processes or create new to increase efficiency and productivity in test case development, scheduling, or deployment

- Analyze test results and prioritize and log defects with appropriate information

- Other duties as assigned

Minimum Experience :

- 5 years of previous experience as an ETL/Data warehouse tester or developer.

- Exceptional data analysis skillset

- SQL Proficiency Strong skills in SQL for data querying, validation, and analysis.

- Experience with complex joins, subqueries, and performance optimization.

- Proficiency in Scala/Python for test automation and data manipulation.

- Experience on Snowflake and Azure Databricks

- Ability to manage multiple projects/deadlines with changing priorities.

- Experience identifying changes, driving improvements, and streamlining processes.

- Strong Knowledge of software development lifecycle

- Understanding Microsoft Azure technologies