Graph Data Engineer
About The Position
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Location The Job is located in Charlotte - Onsite Hybrid Your Role We are seeking a Graph Database Engineer with strong hands on experience in Neo4j to design and deliver graph based fraud detection solutions The role focuses on modeling complex relationships across transactions customers accounts devices and merchants to uncover hidden fraud patterns and networksYou will work closely with fraud analysts data engineers and data scientists to enable both real time and investigative fraud use cases.
Requirements
- Strong hands on experience with Neo4j Graph Database
- Solid expertise in Cypher query language
- Good understanding of graph data modeling and graph concepts
- Experience working on fraud AML risk or financial analytics use cases
- Proficiency in Python and or Java
- Experience with ETLELT pipelines and data integration
- Familiarity with performance tuning indexing and constraints in Neo4j
- Strong analytical problem solving and communication skills
Responsibilities
- Design and implement Neo4j graph data models for fraud and risk analytics
- Develop optimize and maintain Cypher queries for deep relationship traversal and pattern detection
- Support fraud use cases such as entity resolution fraud rings collusion analysis and network exploration
- Build and maintain data ingestion pipelines from RDBMS data lakes files and streaming sources
- Perform query tuning indexing and schema optimization for performance and scalability
- Integrate Neo4j with applications and services using drivers APIs or microservices
- Collaborate with fraud analytics and engineering teams to translate requirements into graph solutions
- Assist in production support troubleshooting and monitoring of graph platforms
- Contribute to documentation best practices and platform improvements
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
