Opens an external site
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Apply by
- Mar 1, 2027
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level
- Application method
- Direct apply is available
Job summary
The role involves performing automation quality assurance with a focus on insurance admin systems and data mapping exercises. The engineer will handle data integration needs using ETL tools and platform-specific logic.
Job details
(Insurance domain and data mapping skill Manditory Strong Automation QA Engineer, with solid Insurance background, specially working in the Admin System and Mapping exercise. Priority Skillsets Core Automation: Strong technical engineering/automation skills are the non-negotiable primary requirement. Leadership emphasizes that system logic can be taught, but strong core engineering skills are essential from day one. Platform Experience: Prior experience with FAST or Hexure platforms. ETL / Data Knowledge: Informatica or Azure Databricks mapping capabilities for data integration needs.
What you’ll do
The role involves performing automation quality assurance with a focus on insurance admin systems and data mapping exercises. The engineer will handle data integration needs using ETL tools and platform-specific logic.
Requirements
Candidates must have strong core automation engineering skills and a solid background in the insurance domain. Experience with FAST or Hexure platforms and Informatica or Azure Databricks is required.
Listed skills
- Microsoft Azure · Preferred
- Technical · Preferred
- Problem solving · Preferred
- Quality assurance · Preferred
- Leadership · Preferred
- Assurance · Preferred
- Integration · Preferred
- Mapping · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Automation QA
- Insurance Domain
- Data Mapping
- FAST Platform
- Hexure Platform
- Informatica
- Azure Databricks
- ETL
- Data Integration
- System Logic
Job areas
- Software
- Technology
- Engineering
- Data & Analytics
- Consulting
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