We are looking for an experienced Senior Microsoft Fabric Data Engineer to join our growing Data Engineering team. The ideal candidate will have strong expertise in Microsoft Fabric, data pipeline development, and Oracle EBS integration. You will play a key role in designing, developing, and orchestrating scalable data pipelines to support enterprise analytics and reporting.

Key Responsibilities
Design, develop, and maintain scalable data pipelines using Microsoft Fabric.
Build and manage Data Factory pipelines within Microsoft Fabric.
Schedule and orchestrate Notebooks, Copy Activities, and Dataflow Gen2 executions.
Create and manage dependency chains between pipeline activities.
Implement retry policies, timeout handling, and error recovery mechanisms.
Configure dynamic pipelines using parameters, variables, and expressions.
Set up automated notifications and alerts for pipeline failures.
Design and orchestrate Bronze → Silver → Gold data processing workflows following the Medallion Architecture.
Integrate and transform data from Oracle EBS and other enterprise data sources.




Collaborate with business stakeholders, data analysts, and engineering teams to deliver reliable and scalable data solutions.
Monitor, troubleshoot, and optimize data pipelines for performance and reliability.

Mandatory Skills
Strong hands-on experience with Microsoft Fabric
Experience building Data Factory Pipelines in Microsoft Fabric
Hands-on experience with Notebook orchestration
Experience with Dataflow Gen2
Strong understanding of Copy Activity and data movement
Experience scheduling and orchestrating end-to-end data pipelines
Knowledge of Pipeline Parameters, Variables, and Energetic Expressions
Experience implementing Retry Policies, Timeout Handling, and Failure Notifications
Hands-on experience designing Bronze → Silver → Gold (Medallion Architecture) data pipelines
Experience integrating data from Oracle EBS
Strong SQL skills
Excellent problem-solving and troubleshooting abilities

📌 Data Engineer (India)
🏢 KPI Partners
📍 India