Responsibilities: + Guidewire CDA Integration: Utilize Guidewire Cloud Data Access (CDA) to extract, transform, and load (ETL) Guidewire data into downstream systems, ensuring data availability for reporting and analytics. + Data Pipelines & ETL Development: Design, build, and maintain scalable and efficient ETL pipelines that integrate Guidewire data with data warehouses, data lakes, and other enterprise systems. + Data Modeling & Architecture: Work closely with Data Architects to develop, optimize, and manage Guidewire data models and schema, ensuring high performance and scalability. + Cloud Integration: Implement cloud-based data engineering solutions using platforms like AWS, Azure, or GCP, ensuring smooth integration of Guidewire data with cloud services. + Data Quality & Governance: Ensure data integrity, accuracy, and compliance with data governance standards across all Guidewire-related data pipelines and integrations. + Performance Tuning & Optimization: Optimize data processing workflows and queries to ensure high performance, minimizing delays in data availability. + Collaboration: Collaborate with business analysts, data architects, and other IT teams to translate business requirements into effective data engineering solutions. + Automation: Build and maintain automation processes for regular data loads, ensuring reliable data ingestion and processing with minimal manual intervention. + Documentation & Best Practices: Maintain clear documentation of data engineering processes, data flows, and pipeline architecture, while adhering to industry best practices. Technical Skills: + 10+ years of experience in data engineering or a similar role. + 3+ years of experience with Guidewire Insurance Suite (PolicyCenter, BillingCenter, ClaimCenter). + 2+ years of hands-on experience with Guidewire Cloud Data Access (CDA) for data extraction and integration. + Proven experience in building ETL pipelines and integrating Guidewire data with cloud-based and on-premises systems. + Strong SQL and PL/SQL skills for querying and transforming Guidewire data. + Proficiency with data integration and ETL tools such as Informatica, PySpark etc. + Experience with Azure cloud platforms for data storage, processing, and integration. + Familiarity with big data technologies and modern data architecture. + Hands-on experience with APIs and microservices for data integration. Knowledge of version control systems (e.g., Git) and CI