Data Quality Assurance Engineer

Role Overview : We are looking for a detail-oriented Data QA Engineer with strong experience in ETL testing, Snowflake data validation, and dashboard verification. The ideal candidate should have strong SQL expertise, hands-on experience validating data across multiple ETL layers, and an automation-focused approach for reconciliation and regression testing. Key Responsibilities : - Perform end-to-end testing of ETL pipelines and data workflows. - Validate data across ETL layers (Source , Staging , Curated , Reporting). - Execute complex SQL queries for data validation and reconciliation. - Validate Snowflake tables, views, transformations, and stored procedures. - Perform dashboard validation and reporting verification by comparing Tableau dashboards with Snowflake data. - Conduct data reconciliation checks to ensure accuracy and completeness. - Implement and maintain automated data validation frameworks. - Perform regression testing for data releases and schema changes. - Identify data quality issues and collaborate with Data Engineers to resolve defects. - Develop test cases, validation scripts, and detailed test documentation. Mandatory Skills : - Strong experience in ETL Testing and Data Validation - Advanced SQL expertise (joins, aggregations, window functions, complex queries) - Experience validating data across multiple ETL layers - Hands-on experience with Snowflake data warehouse validation - Experience testing Tableau dashboards and reports - Strong understanding of data reconciliation techniques - Experience performing regression testing for data pipelines - Strong analytical and problem-solving skills - Domain Experience - Experience in BFSI / Financial domain (preferred) Preferred Skills : - Experience with cloud platforms (AWS / Azure / GCP) - Experience with data testing tools or automation frameworks - Exposure to dbt testing frameworks - Experience working in modern data warehouse environments Role Overview : We are looking for a detail-oriented Data QA Engineer with strong experience in ETL testing, Snowflake data validation, and dashboard verification. The ideal candidate should have strong SQL expertise, hands-on experience validating data across multiple ETL layers, and an automation-focused approach for reconciliation and regression testing. Key Responsibilities : - Perform end-to-end testing of ETL pipelines and data workflows. - Validate data across ETL layers (Source , Staging , Curated , Reporting). - Execute complex SQL queries for data validation and reconciliation. - Validate Snowflake tables, views, transformations, and stored procedures. - Perform dashboard validation and reporting verification by comparing Tableau dashboards with Snowflake data. - Conduct data reconciliation checks to ensure accuracy and completeness. - Implement and maintain automated data validation frameworks. - Perform regression testing for data releases and schema changes. - Identify data quality issues and collaborate with Data Engineers to resolve defects. - Develop test cases, validation scripts, and detailed test documentation. Mandatory Skills : - Strong experience in ETL Testing and Data Validation - Advanced SQL expertise (joins, aggregations, window functions, complex queries) - Experience validating data across multiple ETL layers - Hands-on experience with Snowflake data warehouse validation - Experience testing Tableau dashboards and reports - Strong understanding of data reconciliation techniques - Experience performing regression testing for data pipelines - Strong analytical and problem-solving skills - Domain Experience - Experience in BFSI / Financial domain (preferred) Preferred Skills : - Experience with cloud platforms (AWS / Azure / GCP) - Experience with data testing tools or automation frameworks - Exposure to dbt testing frameworks - Experience working in modern data warehouse environments