Azure Data Engineer

Azure Data Engineer

Below is the JD

Azure Data Engineer (6–8 years) to build and support a modern data platform for a leading US-based insurance organization.

This role is hands-on and delivery-focused, working under the guidance of senior architects to develop reliable data pipelines and enable analytics and AI use cases on Azure Fabric. Key Responsibilities

• Develop, enhance, and maintain data pipelines in Azure Fabric for batch and near–real-time processing.

• Assist in on-premises to Azure Fabric migration activities, including data ingestion, transformation, and validation.

• Build and support ETL/ELT pipelines using Fabric Data Factory, Dataflows Gen2, Synapse, and Spark.

• Implement streaming and event-driven data flows using Fabric Event Streams and KQL for operational and analytical workloads.