The client is looking for a Data Engineer with experience in the Property and Casualty insurance industry and the Guidewire ecosystem to design, develop, and support scalable data solutions for enterprise reporting, analytics, and emerging AI initiatives. The ideal candidate will have a strong background in data engineering, Azure cloud technologies, modern data platforms, and Guidewire data structures, with the ability to translate business requirements into scalable and reliable data solutions.

Responsibilities:

• Design, develop, and maintain scalable ELT/ETL data pipelines supporting analytics and reporting initiatives
• Build and optimize data solutions utilizing Azure Databricks, Azure Data Factory, Apache Spark, and Delta Lake technologies
• Develop and maintain enterprise data models, data marts, and analytical datasets
• Integrate and transform data from Guidewire and other operational business systems
• Collaborate with business stakeholders, analysts, and technical teams to deliver data and reporting solutions
• Support reporting and dashboarding initiatives utilizing Power BI and related business intelligence tools
• Monitor and optimize data pipeline performance, reliability, and scalability
• Troubleshoot production issues and perform root-cause analysis to resolve data quality and integration challenges
• Implement data governance, security, and compliance standards across data platforms
• Develop and maintain testing strategies to ensure data accuracy and reliability
• Support enterprise AI and advanced analytics initiatives through data preparation, metadata management, and scalable data architecture
• Mentor team members on data engineering best practices and insurance data concepts