Description

You will own the quality assurance for ETL processes.

This role is hybrid.

Responsibilities

• Validate source-to-target data mappings, ETL transformations, and end-to-end data flows across staging and target systems.
• Perform detailed data reconciliation using advanced SQL to verify aggregations, calculations, and business rules.
• Design comprehensive ETL test scenarios, including full, incremental, delta, and historical load validations.
• Execute smoke, SIT, regression, and UAT support testing while documenting defects with clear root-cause analysis.
• Produce data quality reports, test results, and validation checklists to maintain transparency and traceability.

Required Skills

• 8–10 years of experience in ETL testing, data validation, and data-centric QA projects.
• Strong hands-on expertise in ETL Testing and Data Validation.
• Expertise in advanced SQL for complex data transformation validation.
• Proven ability to execute data reconciliation and defect analysis.
• Experience validating complex data transformations across staging and target systems.
• Ability to collaborate effectively with ETL developers and data engineering teams.

Key Skills

Education

Any Graduate