QA Engineer

Job Summary

We are currently seeking a QA Engineer to join our team in Bangalore, Karnataka, India. The QA Analyst / Data Validation Specialist will manage quality assurance and validation execution for migrated Snowflake workloads on Databricks. This role will prepare and execute test cases, validate source-to-target parity, capture evidence, track defects, support reconciliation, and provide quality status reporting for SIT, QA, PROD readiness, and hypercare phases.

Responsibilities

• Develop and execute test cases for migrated data pipelines, jobs, transformations, and integration flows.
• Support automated test execution where applicable and provide reporting on validation outcomes, defects, and test completion status.
• Validate migrated workloads against agreed functional, data reconciliation, and deployment verification criteria.
• Capture and maintain test evidence, defect logs, issue status, and sign-off documentation required for sprint and release of governance.
• Coordinate with Data Engineers and Senior Data Engineers to reproduce, triage, and retest defects during SIT, QA, PROD readiness, and hypercare phases.
• Support runtime comparison evidence collection while noting that performance tuning or performance fixing is outside scope unless separately approved.
• Contribute to final validation reports, operational handoff evidence, and quality-related knowledge of transition materials.

Requirements

• Experience in data migration testing, SQL-based validation, reconciliation testing, ETL/ELT testing, data quality checks, defect management, test evidence documentation, automated testing concepts, and quality reporting.
• Familiarity with Snowflake and Databricks environments, source-to-target comparison, row count validation, aggregate checks, schema validation, and release sign-off processes is preferred.