Data & Analytics Engineer with P&C insurance in NYC(F2F interview)
Amtex Systems Inc
Hi
We have an urgent role of Senior Data & Analytics Engineer with P&C insurance.
URGENT HIRE!
Data & Analytics Engineer with P&C insurance
Looking for a contract developer for 6 months- this role is on the analytics team – needs someone who can help build the data marts effectively.
Location: NYC- 3 days on site downtown NYC (final onsite interview)
Duration: It might get extended past 6 months
Job Summary:
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.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline.
- 5+ years of experience in data engineering, analytics, or BI roles.
- Strong hands-on experience with Microsoft T-SQL, Azure Synapse Analytics, Power BI Semantic Layer (or SSAS) and Azure Data Factory.
- Proficiency in Python/PySpark. Experience with DAX is a strong plus.
- Experience with Git, branch management, and CI/CD pipelines in a data environment.
- Deep understanding of P&C insurance industry data (e.g., policy administration, claims processing, underwriting, actuarial models, ceded reinsurance).
- Working knowledge of insurance enterprise data models such as ACORD, IBM, etc.
- Experience with data warehousing, dimensional modeling, and data architecture.
- Proven ability to optimize performance in large-scale data environments.
- Excellent communication and collaboration skills with both technical and business stakeholders.
- Ability to manage concurrent deliverables in a fast-paced environment.
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