Hiring For ETL + Python Automation Tester - Pune | Globant

Job description

**Key Responsibilities** Perform end-to-end testing of ETL pipelines and data workflows • Validate data across different ETL layers (Source Staging Curated Reporting) • Execute complex SQL queries for data validation and reconciliation • Validate and test Snowflake tables, views, transformations, and stored procedures • Perform dashboard validation and reporting verification (Tableau vs Snowflake data consistency) • Conduct reconciliation checks to ensure data 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 • Create detailed test cases, validation scripts, and test documentation **Data Quality Engineer ETL Testing, SQL, Python** Key requirements: • Strong experience in Data Quality Engineering, including ETL, BI/report testing, and API testing • Advanced SQL and hands-on Python (automation/data validation) • Experience validating cloud-based (AWS preferred) data pipelines • Expertise in data profiling, reconciliation, and automated data quality checks • Familiarity with Agile, SDLC/STLC, and test management tools (JIRA/X-Ray/HP ALM)