- Good Understanding of Amazon Glue, Lakehouse and AWS services , Data Models to validate the data, Trade processing, Cash flows and Holdings flow.

- Strong in SQL and data analysis skills

- Ability to work independently as well as in a team setting

- Proactively communicate and collaborate with the other QA & non-QA teams.

Nice to have :

- Knowledge in Eagle Product, Starburst

Roles & Responsibilities :

- Analyze business and technical requirements for ETL processes.

- Develop and execute ETL test cases, test scenarios, and test scripts.

- Validate data mapping, transformation rules, and data integrity.

- Perform source-to-target data validation.

- Execute database testing using SQL queries.

- Identify, track, and report defects using defect management tools.

- Perform regression, functional, and data quality testing.

- Work closely with developers, business analysts, and stakeholders.

- Ensure data accuracy and completeness in data warehouse systems.

Required Skills :

- Strong knowledge of ETL Testing concepts.

- Experience in SQL and database testing.

- Hands-on experience with ETL tools like Informatica, Talend, SSIS, or DataStage.

- Knowledge of Data Warehousing concepts.

- Experience with defect tracking tools like JIRA or Quality Center.

- Good understanding of Unix/Linux commands.

- Strong analytical and problem-solving skills.