Azure Data Engineer

We are seeking an experienced Azure Data Engineer + (Commercial Insurance ) responsible for designing, developing, and maintaining cloud-based data solutions. The candidate must have strong hands‑on expertise in Azure Data Factory and JSON
, with the ability to build scalable pipelines and optimize data workflows across Azure services.

• Design, build, and maintain ETL/ELT pipelines using Azure Data Factory (ADF – mandatory).
• Create and manage ADF pipelines, activities, triggers, linked services, and integration runtimes.
• Develop and customize JSON‑based ADF pipeline definitions (mandatory).
• Ingest data from diverse sources (SQL, APIs, Blob, ADLS, On‑premises) into Azure.
• Work with Azure services such as Azure SQL Database, Azure Synapse Analytics, ADLS Gen2, Databricks, etc.
• Implement data transformation logic using Mapping Data Flows, Databricks, or SQL.
• Optimize data pipelines for performance, reliability, and cost efficiency.
• Participate in data modeling, validation , quality checks, and CI/CD deployments (Azure Dev Ops).
• Troubleshoot pipeline failures, performance bottlenecks, and integration issues.
• Ensure security best practices including access control, encryption, and monitoring.

• Strong hands‑on experience with Azure Data Factory (MANDATORY).
• Expertise in JSON for pipeline definitions, datasets, and configurations (MANDATORY).
• Proficiency with Azure cloud data services (Synapse, ADLS, Key Vault, Azure SQL).
• Solid understanding of ETL/ELT processes and data warehousing principles.
• Experience with SQL (T‑SQL), stored procedures, and query optimization.
• Familiarity with Git, CI/CD, and Azure Dev Ops.
• Strong problem‑solving and debugging skills.
• Good communication and documentation abilities.