Description

Key Skills: Data Engineer, Pyspark.

Roles & Responsibilities:

  • Design and implement scalable data pipelines to support exposure aggregation across geographies, perils, and lines of business.
  • Integrate structured and unstructured data from policy systems, claims platforms, reinsurance databases, and third-party catastrophe models (e.g., RMS, AIR).
  • Build and manage data lake architectures using Microsoft Fabric, including Lakehouses and OneLake.
  • Collaborate with risk analysts, brokers, and BI developers to deliver clean, reliable, and timely data for reporting and analytics.
  • Develop and maintain data models optimized for Power BI, exposure dashboards, and geospatial risk analysis.
  • Ensure data quality, lineage, and governance across the exposure data ecosystem.
  • Support regulatory and compliance reporting related to exposure and accumulation.

Experience Requirement:

  • 6-8 years of experience in data engineering with a focus on exposure aggregation, preferably in insurance and financial services.
  • Extensive hands-on experience working with large-scale data pipelines and implementing data lake solutions using Microsoft Fabric.
  • Strong domain knowledge in catastrophe modeling and risk accumulation analysis.
  • Proficient in designing data models for reporting and analytical tools such as Power BI.
  • Experience in handling cross-functional data collaboration with risk, analytics, and compliance teams

Key Skills
Education

Any Graduate

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