Key Responsibilities :

- Design, develop, and maintain data pipelines and warehouse solutions using SQL Server and SSIS.

- Implement and optimize Azure-based data engineering tools including ADF, Data Fabric, Databricks, and PySpark.

- Ensure scalability, reliability, and performance of data workflows.

- Collaborate with cross-functional teams to support data integration and analytics needs.

- Maintain data quality, integrity, and governance standards.

Required Skills & Qualifications :

- 46 years of proven experience in SQL Server & SSIS.

- Strong expertise in Azure Data Engineering tools (ADF, Data Fabric, Databricks, PySpark).

- Solid understanding of ETL processes, data modeling, and data warehouse design.

- Prior experience in Finance Data Warehouse environments (highly desirable).

- Strong problem-solving and troubleshooting skills.

- Excellent communication and collaboration skills.

Good to Have :

- Exposure to cloud automation, DevOps, and CI/CD practices.

- Familiarity with Power BI or other visualization tools.