The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.
Company Description
Describe what makes your company great
Job DescriptionKey Responsibilities:
Snowflake Expertise:
- Design and develop schemas and data models within the Snowflake platform.
- Write and optimize complex SQL queries for data extraction and transformation.
Guidewire Claims Center:
- Apply hands-on experience with Guidewire Claims Center to support claims management workflows.
- Integrate Guidewire with data platforms to enable seamless data exchange.
ETL/ELT Processes:
- Utilize ETL/ELT tools (e.g., Apache Nifi, Talend, dbt) to design and execute efficient data transformation and loading processes.
Data Warehousing:
- Build and optimize cloud-based data warehouses for scalable storage and analytics.
SQL and Data Querying:
- Write advanced SQL queries for data aggregation, reporting, and analysis.
Cloud & Data Integration:
- Leverage cloud platforms (AWS, Azure, GCP) to enable system connectivity and data synchronization.
All your information will be kept confidential according to EEO guidelines.
Similar Jobs
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The role involves supporting integration and sales of Square's Developer Platform, collaborating with partners, and advising on solutions for sellers.
Top Skills:
Full-Stack DevelopmentRestful ApisSaaS
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Partner with Account Executives to design and demonstrate Webflow solutions for Enterprise customers. Lead discovery, solution design, technical validation, demos, workshops, and business case development. Influence product direction, run cross-functional initiatives, and travel up to 25% while supporting multiple active opportunities.
Top Skills:
AIAPIsCSSHTMLJavaScriptWebflow
Artificial Intelligence • Legal Tech
Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.
Top Skills:
APIsLlmsPythonSdksTypescriptWebhooksWorkflow Automation
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.



