Description

You will lead enterprise data modernization initiatives by architecting and implementing end-to-end data solutions using Microsoft Fabric.

This role is on-site.

Responsibilities

• Architect and implement end-to-end data solutions using Microsoft Fabric.
• Lead migration of Azure Data Factory (ADF), SSIS, and legacy ETL workloads to Microsoft Fabric.
• Design and develop scalable data ingestion, integration, and transformation pipelines.
• Implement orchestration frameworks using Fabric Data Factory, Dataflows, Notebooks, and Pipelines.
• Drive data warehouse modernization initiatives and migration to Fabric Lakehouse/Warehouse architecture.

Required Skills

• 10+ years of experience in Data Engineering, Data Warehousing, and Analytics.
• Strong hands-on expertise in Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, and Power BI.
• Experience in migrating Azure Data Factory (ADF) and SSIS workloads to Microsoft Fabric.
• Strong knowledge of ETL/ELT design, data integration, and orchestration frameworks.
• Hands-on experience integrating Microsoft Dynamics 365 (D365) and other enterprise applications.
• Strong proficiency in SQL, Python, and Spark-based data processing.
• Experience in data modeling, performance tuning, and data governance.

Preferred Skills

• Microsoft Certified: Fabric Analytics Engineer Associate.
• Microsoft Azure Data Engineer Associate.

Key Skills

Education

Any Graduate