NTT

4 weeks ago

QA Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Execute quality assurance and validation for migrated Snowflake workloads on Databricks, including building and running test cases, validating source-to-target parity, and tracking defects through SIT, QA, PROD readiness, and hypercare. Perform SQL-based data reconciliation checks (row counts, aggregates, schema validation), capture and maintain test evidence and sign-off documentation, and coordinate with Data Engineers to reproduce and retest issues while providing quality status reporting.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Key Responsibilities

•Prepare and execute test cases to validate migrated data pipelines, jobs, transformations, and integration flows.
•Validate migrated workloads against functional, data reconciliation, and deployment verification criteria.
•Support automated test execution where applicable and report validation outcomes, defects, and test completion status.
•Capture and maintain test evidence, defect logs, issue status, and sprint/release sign-off documentation.
•Coordinate with Data Engineers to reproduce, triage, and retest defects across SIT, QA, PROD readiness, and hypercare phases, and contribute to final validation reports and operational handoff evidence.

Key Requirements

•Experience in data migration testing, SQL-based validation, and reconciliation testing.
•Hands-on ETL/ELT testing, data quality checks, and defect management with evidence documentation.
•Familiarity with Snowflake and Databricks environments, including source-to-target comparison and validation criteria.
•Knowledge of release sign-off processes and deployment verification for SIT, QA, PROD readiness, and hypercare phases.
•Understanding of automated testing concepts and providing quality/status reporting for test execution outcomes.

Experience:Data migrationETL/ELTData qualityAutomated testing

Skills:Quality assuranceAttention to detailDefect managementDocumentationReporting

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

Website LinkedIn

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NTT