QA Engineer

NTT DATA BUSINESS SOLUTIONS; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS in Bangalore is seeking a QA Engineer / Data Validation Specialist to manage QA and validation for migrated Snowflake workloads on Databricks. You will prepare and execute test cases, ensure source-to-target parity, capture evidence, track defects, and support release readiness and hypercare.

Responsibilities include developing test cases for data pipelines, supporting automated testing, validating migrations, and maintaining defect logs and sign-off documentation for

Qualifications

• Experience in data migration testing and SQL-based validation.
• Familiarity with data reconciliation testing and ETL/ELT testing.
• Ability to perform data quality checks and manage defects.

Responsibilities

• Develop and execute test cases for migrated data pipelines, jobs, transformations, and integration flows.
• Support automated test execution and provide reporting on validation outcomes and defects.
• Validate migrated workloads against functional, reconciliation, and deployment criteria.
• Capture test evidence, maintain defect logs, and sign off for sprint releases.
• Coordinate with Data Engineers to reproduce, triage, and retest defects during SIT/QA/Prod readiness.
• Assist in runtime evidence collection; performance tuning work is outside scope without approval.
• Contribute to final validation reports and transition materials.

Skills

Data migration testing

SQL-based validation

Reconciliation testing

ETL/ELT testing

Data quality checks

Defect management

Test evidence documentation

Automated testing concepts

Quality reporting

Education

Tools

Snowflake

Databricks

Job description

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.