Our understanding is we are looking at a Data Engineer with Re-Insurance domain experience. The primary skills are: - Sound knowledge of Data ingestion and Data engineering skills on Azure platform - Hands on experience in Data pipeline design, development, testing and deployment - Proficient in Azure ADF, Databricks, Notebooks with Python or Spark skills - Experience in orchestrating Data pipelines using Airflow or any other scheduling tools - Experience in analytics in the area of policy administration, claims, billing, actuarial etc. Secondary skills: - Insurance and Re-insurance experience with good knowledge policy administration and maintenance - Understanding of actuarial routines and how data will be used as a service - Integration with downstream applications for reporting and analytics including policy agents, brokers and clients If we want a resource skilled in: • Familiarity with reinsurance broking data, including placements, treaty structures, client hierarchies, and renewal workflows. • Understanding of actuarial rating inputs and outputs, including exposure and experience data, layers, tags, and program structures. • Experience building data pipelines that support actuarial analytics, pricing tools, and downstream reporting for brokers and clients. • Azure Data Architect with data modeling experience • Data ingestion, engineering on Azure using Databricks notebooks, ADF etc. • Experience dealing underwriting in Insurance.