Description

You will ensure data integrity across data pipelines.

Responsibilities

• Review and validate SQL and ETL output to confirm data accuracy and alignment with business rules.
• Develop and execute data test plans, cases, and validation scripts for Azure Synapse pipelines and stored procedures.
• Reconcile data across source systems, staging areas, and curated layers in Azure Data Lake or Synapse.
• Conduct regression testing on modified pipelines or data models to confirm no new issues arise.
• Collaborate with engineers and analysts to document and resolve data discrepancies.

Required Skills

• 5+ years of experience in Quality Assurance.
• Expert proficiency in SQL for data validation.
• Experience with Python for testing support.
• Knowledge of Data Pipelines and ETL processes.
• Familiarity with Automated Testing frameworks.
• Proven ability in Data Validation and reconciliation.
• Experience promoting Continuous Improvement in QA processes.
• Strong collaboration skills working with technical teams.

Key Skills

Education

Any Gradute