Position Details
About this role
This role involves developing and maintaining AI data pipelines and data engineering solutions to support AI and GenAI initiatives within the insurance sector, emphasizing real-time data processing and scalable architectures.
Key Responsibilities
- Implement AI data pipelines
- Develop AI-driven systems
- Maintain real-time data streaming pipelines
- Collaborate with cross-functional teams
- Apply GenAI solutions
Technical Overview
The technical environment includes tools like Apache Kafka, AWS Kinesis, Spark streaming, and graph databases, focusing on scalable, real-time data streaming and AI integration.
Ideal Candidate
The ideal candidate is a senior data engineer with experience in AI data pipelines, real-time data streaming, and graph databases, preferably within the insurance industry. They should have strong collaboration skills and a solid understanding of modern data engineering tools and AI solutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Kafka, Kinesis, or Spark streaming, No experience in AI data engineering, No collaboration or cross-functional team experience
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile