Data Engineer - P&C Insurance (Azure Integration/Migration)

As a skilled Data Engineer with expertise in Property & Casualty (P&C) Insurance data and Azure data services, your role will involve designing, developing, and optimizing data pipelines and architecture to support business intelligence, analytics, and digital transformation initiatives. Key Responsibilities: - Utilize your 5+ years of experience as a Data Engineer to work on P&C Insurance data, specifically policy, claims, billing, and underwriting data. - Lead data integration and migration projects, particularly on-prem to Azure or cross-platform, leveraging tools like Azure Data Factory (ADF), Azure Databricks / Spark, and Azure Synapse / Data Lake / SQL Database. - Apply hands-on experience with Python, PySpark, or Scala for data processing, SQL for performance tuning, and data modeling, warehousing concepts, and ETL/ELT frameworks. - Implement API-based or file-based data integrations and ensure version control (Git), CI/CD pipelines, and Agile delivery methods are followed. Qualifications Required: - 5+ years of experience as a Data Engineer or in a related role. - Strong expertise in the P&C Insurance domain, specifically in policy, claims, billing, and underwriting data. - Proven experience in data integration or migration projects, especially on-prem to Azure or cross-platform. - Proficiency in Azure Data Factory (ADF), Azure Databricks / Spark, Azure Synapse / Data Lake / SQL Database, Python, PySpark, or Scala for data processing, SQL, and data modeling. - Knowledge of data warehousing concepts, ETL/ELT frameworks, API-based or file-based data integrations, version control (Git), CI/CD pipelines, and Agile delivery methods. No additional details of the company are mentioned in the job description.,