Engineer

• Perform data analysis and assess data management requirements for platforms and projects.
• Build and optimize data pipelines in Azure Databricks (PySpark/SQL), aligned with Medallion Architecture.
• Orchestrate data ingestion, transformation, and validation processes.
• Maintain production-grade code with CI/CD, version control, and DevOps/GitHub practices.
• Design and deliver high-performance semantic models, data marts, and datasets optimized for executive-level insurance and operational reporting.
• Develop advanced Power BI dashboards using complex DAX, calculation groups, row-level security, and best-practice modeling patterns.
• Implement and maintain Claim Operations semantic layer ensuring consistent business definitions, metrics, and KPIs.
• Own the documentation of pipelines, data models, definitions, and lineage.
• Continuously optimize pipelines, SQL queries, DAX measures, and cloud spend.
• Partner with BI & Data Management teams to enforce governance standards, access controls, and data quality frameworks.
• Provide coaching and guidance to team members on Databricks, Power BI, and analytics best practices.
• Collaborate with business and technology partners to elicit, analyze, and understand data requirements.
• Ensure data compliance with enterprise standards, policies, and guidelines.
• Support partners and stakeholders in interpreting and analyzing data.
• Build effective working relationships across teams to encourage collaboration.

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