Data & Analytics Engineer with P&C insurance in NYC(F2F interview)

Client is looking for a highly skilled Senior Data & Analytics Engineer with a strong technical background and deep understanding of the P&C insurance Industry. This role is critical in designing and delivering scalable, high-performance data solutions that empower analytics, reporting, and strategic decision-making. The ideal candidate will have expertise in Microsoft T-SQL, Azure Synapse Analytics, Azure Data Factory (ADF) and Power BI semantic layer, along with a solid grasp of insurance data domains such as policy, claims, underwriting, and actuarial., * Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline. \n

• 5+ years of experience in data engineering, analytics, or BI roles. \n

• Strong hands-on experience with Microsoft T-SQL, Azure Synapse Analytics, Power BI Semantic Layer (or SSAS) and Azure Data Factory. \n

• Proficiency in Python/PySpark. Experience with DAX is a strong plus. \n

• Experience with Git, branch management, and CI/CD pipelines in a data environment. \n

• Deep understanding of P&C insurance industry data (e.g., policy administration, claims processing, underwriting, actuarial models, ceded reinsurance). \n

• Working knowledge of insurance enterprise data models such as ACORD, IBM, etc. \n

• Experience with data warehousing, dimensional modeling, and data architecture. \n

• Proven ability to optimize performance in large-scale data environments. \n

• Excellent communication and collaboration skills with both technical and business stakeholders. \n

• Ability to manage concurrent deliverables in a fast-paced environment. \n