Description

You will build and maintain data quality automation solutions for large-scale data reconciliation.

This role is on-site.

Responsibilities

• Convert manual test cases in Azure DevOps into automated validation scripts using Python.
• Design, implement, and optimize SQL validation queries for data reconciliation across Oracle, SQL Server, and Databricks.
• Manage cross-system data validations for batch and streaming data flows, including record counts and business rule checks.
• Automate execution flows, structured logging, and report generation (CSV, text, dashboards).
• Maintain and enhance existing Python-based data validation frameworks.

Required Skills

• 5+ years of experience in data validation frameworks and ETL testing.
• Proficiency in Python programming for automation and data validation.
• Strong experience with Azure Cloud services and data engineering ecosystems.
• Hands-on experience with SQL and database performance optimization.
• Familiarity with Azure DevOps for pipeline automation and CI/CD integration.
• Experience managing Git repositories and version control workflows.
• Knowledge of data reconciliation across various systems.

Preferred Skills

• Bachelor's degree in Computer Science, Information Technology, or related discipline.

Key Skills

Education

Any Graduate