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    Job · 12895122

    BENGALURU · FULLTIME

    QA Engineer

    NTT DATA BUSINESS SOLUTIONS logo

    NTT DATA BUSINESS SOLUTIONS

    Bengaluru · onsite · Posted 61d ago

    Sourced fromNaukri
    Undisclosed1–4 yrsfulltimeBengaluru

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    Section · 01

    About this role

    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.

    Sourced from naukri

    Section · 02

    Skills

    data qualityQAqa engineerPerformance Tuningautomated testingeltDefect managementClient Successdata reconciliationBankingdeploymentDatabricksData MigrationcloudQuality AssuranceETLData ValidationData PipelineArtificial Intelligence

    Section · Company

    About NTT DATA Business Solutions

    NTT DATA BUSINESS SOLUTIONS logo

    NTT DATA BUSINESS SOLUTIONS

    IT Services & Consulting

    4k+

    employees

    1989

    37 years old

    Hyderabad / Secunderabad, Telangana

    India

    About

    NTT DATA Business Solutions helps clients innovate and transform through expert SAP solutions, advisory, implementation, and managed services.

    Industries

    IT Services & Consulting

    Employee ratings

    2,105 reviews

    4.1/ 5

    Culture

    4.0

    Career growth

    3.5

    Work-life

    4.0

    Employees rate it well for

    Work Life Balance176Salary146Senior Management116Work Culture99Work Environment83

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