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Data Engineer - Snowflake & Guidewire Claims Center | Insurance Industry Expertise

Data Engineer - Snowflake & Guidewire Claims Center | Insurance Industry Expertise

LiztekCanada
Il y a 20 jours
Description de poste

Data Engineer - Snowflake & Guidewire Claims Center | Insurance Industry Expertise

Summary :

Experienced Data Engineer with a strong focus on Snowflake and Guidewire Claims Center in the insurance industry. Skilled in developing data solutions, optimizing data pipelines, and integrating systems to enhance claims management and data-driven decision-making.

Key Responsibilities :

  • Design, develop, and maintain data pipelines using Snowflake for efficient data storage, transformation, and retrieval in insurance applications.
  • Collaborate with business and technical teams to integrate Guidewire Claims Center data with Snowflake for comprehensive analytics and reporting.
  • Implement and optimize ETL / ELT processes to extract, transform, and load insurance claims data from multiple sources into Snowflake.
  • Build and maintain data models and schemas within Snowflake to ensure data consistency, accuracy, and high-performance queries.
  • Support data integration efforts between Guidewire Claims Center and other enterprise systems to ensure smooth data flow and real-time updates.
  • Troubleshoot and resolve data-related issues, ensuring the integrity and quality of claims data and improving system performance.

Technical Skills & Requirements :

  • Snowflake : Proficiency in Snowflake data platform, including schema design, data modeling, and writing complex SQL queries.
  • Guidewire Claims Center : Hands-on experience with Guidewire Claims Center, including integration with data platforms and understanding of claims management workflows.
  • ETL / ELT Tools : Experience with ETL / ELT processes and tools (e.g., Apache Nifi, Talend, dbt) for data transformation and loading.
  • Data Warehousing : Expertise in building and optimizing data warehouses for large-scale data storage and analytics in cloud environments.
  • SQL & Data Querying : Strong skills in writing advanced SQL queries for data extraction, aggregation, and analysis.
  • Cloud & Data Integration : Knowledge of cloud platforms (AWS, Azure, GCP) and data integration techniques for system connectivity and data synchronization.