Azure Data Engineer

• Bachelor’s degree in computer science, Information Technology, or a related field
• Design and develop scalable insurance data solutions using Azure Functions, Azure Data Services, and Azure Databricks.
• Build, maintain, and optimize ETL/ELT data pipelines using PySpark, Databricks Notebooks, and Job Orchestration.
• Develop high-performance Databricks SQL queries, data models, and datasets to support analytics and reporting.
• Collaborate with business analysts, product owners, and technical teams to translate business requirements into cloud-based solutions.
• Implement and manage Azure data platforms, including Azure Data Lake, Azure SQL, and related Azure services.
• Monitor, troubleshoot, and optimize Databricks clusters, Azure Functions, and data pipelines for performance, scalability, and cost efficiency.
• Apply data governance, security, and best practices to protect sensitive insurance and financial data.
• Support CI/CD, deployment automation, testing, and production releases within Azure environments.
• Work with insurance business processes, including Policy Administration, Claims, Billing, Underwriting, and Regulatory Reporting.
• Provide technical leadership, documentation, and continuous improvement recommendations for enterprise Azure data solutions.

Required Skills: Azure, Databricks, SQL, and Insurance Domain