QA Engineer

NTT
Bengaluru
Workplace: OnsiteFull timeFunction: QA, Test & Release EngineeringSkills: []

Own quality assurance and data validation for migrated Snowflake workloads running on Databricks. Create and execute test cases for data pipelines, jobs, transformations, and integration flows, performing source-to-target parity checks, schema/aggregate/row-count validations, and deployment verification for SIT, QA, PROD readiness, and hypercare. Capture and maintain evidence, defect logs, and sign-off documentation, coordinate with data engineers to reproduce and retest defects, and report validation outcomes and readiness status.

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FursaFursa
NTT
NTT
2 months ago

QA Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Own quality assurance and data validation for migrated Snowflake workloads running on Databricks. Create and execute test cases for data pipelines, jobs, transformations, and integration flows, performing source-to-target parity checks, schema/aggregate/row-count validations, and deployment verification for SIT, QA, PROD readiness, and hypercare. Capture and maintain evidence, defect logs, and sign-off documentation, coordinate with data engineers to reproduce and retest defects, and report validation outcomes and readiness status.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: QA, Test & Release Engineering

Key Responsibilities

  • •Manage quality assurance and validation execution for migrated Snowflake workloads on Databricks across SIT, QA, PROD readiness, and hypercare.
  • •Prepare and execute test cases to validate data pipelines, jobs, transformations, and integration flows.
  • •Perform source-to-target parity validation, including agreed functional and data reconciliation and deployment verification criteria.
  • •Capture and maintain test evidence, defect logs, issue status, and sign-off documentation for sprint and release governance.
  • •Coordinate with data engineers to reproduce, triage, retest defects, and contribute to validation reports and operational handoff evidence.

Key Requirements

  • •Experience in data migration testing, including SQL-based validation, reconciliation testing, and ETL/ELT testing.
  • •Perform data quality checks such as row count validation, aggregate checks, and schema validation.
  • •Manage defect tracking, test evidence documentation, and quality reporting for release sign-off.
  • •Work with Snowflake and Databricks environments, including source-to-target comparison validation.
  • •Support automated test execution concepts and maintain validation outcomes, defects, and test completion status.
Experience:Data migrationETL/ELT testingSnowflakeDatabricks
Tech Stack:SQLSnowflakeDatabricksETLELT

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn