Posted 24 months ago
Guidewire Data Engineer
@ ShoreWise Consulting
Canada
Overview
ShoreWise Consulting is hiring a contract Guidewire Data Engineer to build Snowflake schemas and data models, integrate Guidewire Claims Center with data platforms, and run ETL/ELT pipelines and cloud data warehouses. The role requires advanced SQL and hands-on Guidewire Claims Center experience.
Responsibilities:
- Design Snowflake schemas and data models
- Write and optimize complex SQL queries
- Integrate Guidewire Claims Center with data platforms
- Build ETL/ELT processes using dbt, NiFi or Talend
- Build and optimize cloud data warehouses
Requirements summary:
- Hands-on experience with Guidewire Claims Center
- Advanced SQL skills
- Experience with Snowflake
- Experience with ETL/ELT tools
- Experience with AWS, Azure or GCP
Tools & skills
Source and dates
Employer career site / ATS feed · smartrecruiters
- Employer posting date
- 2024-11-20
- First seen by our source
- 2026-10-15
- Source record updated
- 2026-10-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | IT |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
ShoreWise Consulting
| Field | Value |
|---|---|
| Open jobs on Jobsy | 7 |
Company Description
Describe what makes your company great
Job Description
Key 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.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.