Posted:6 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Convert manual test cases in

    Azure DevOps

    into automated validation scripts using

    Python (VS Code)

    .
  • Design, implement, and optimize

    SQL validation queries

    to reconcile large datasets.
  • Maintain and enhance existing

    Python-based validation framework

    for source-to-target system reconciliation across Oracle, SQL Server, and Databricks.
  • Manage and execute scenario-based validations, including

    record counts, null checks, data accuracy, and validity rules

    , based on requirements.
  • Implement

    cross-system data validation

    for both

    batch loads

    and

    streaming data flows

    .
  • Automate execution flows, structured logging, exception handling, and result reporting in user-defined formats (CSV, text, dashboards).
  • Debug and maintain framework scripts,

    environment setup

    (Oracle Instant Client, ODBC drivers), and resolve connectivity or runtime issues.
  • Write and maintain

    unit tests

    and

    smoke tests

    for Python scripts and SQL queries to ensure stability.
  • Collaborate with business and technical teams to define validation requirements, establish pass/fail conditions, and interpret results.
  • Manage Git repositories, including

    branching strategies, merging, and version control best practices

    .
A

Data Quality & Automation Engineer

to take over and enhance existing automation frameworks and develop new ones for validating data migration and transformation across Oracle SQL Developer, SQL Server Management Studio (SSMS), and Databricks. The role involves working extensively with databases, Python automation, and SQL-based data validations to ensure data integrity during migration and post-migration processes across both batch and streaming pipelines

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