Senior Data Engineer

Job Description

• Data Engineering & Data Validation.
• Hands-on experience with Oracle, SQL Server, PostgreSQL, and MongoDB.
• Hands-on experience in commercial Data Validation tools like Datagaps, Querysurge, etc.
• Proficiency in Azure Data Factory, Databricks, PySpark, and SQL.
• Experience with data validation, reconciliation, and assurance techniques.
• Strong skills in Python scripting for automation.
• Understanding of ETL/ELT processes and data migration best practices.
• Knowledge of data governance and compliance best practices.