Graph DB Engineer
ArkTek Staffing Solutions
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
€ 7.1KJob location
Tech stack
Java
Adaptable Database Systems
Amazon Web Services (AWS)
Code Review
Database Applications
Database Design
Query Languages
Graph Database
Neo4j
Semantic Web
SPARQL
Cloud Platform System
Database Performance
Backend
Kotlin
Optimization Algorithms
REST
Data Pipelines
Docker
Microservices
Job description
We are looking for an experienced Graph Database Engineer to join our growing team. The ideal candidate will have strong expertise in graph database technologies, backend development, and cloud-based architectures. This role offers the opportunity to work on complex data-driven applications and large-scale enterprise solutions., * Design, develop, and optimize graph database solutions using Neo4j, AWS Neptune, or similar technologies.
- Develop and maintain backend applications using Java or Kotlin.
- Create efficient graph queries using Cypher, SPARQL, or related query languages.
- Design scalable data models for complex business requirements.
- Build and integrate microservices and RESTful APIs.
- Optimize database performance, scalability, and reliability.
- Collaborate with cross-functional teams to deliver high-quality solutions.
- Participate in code reviews and contribute to technical best practices., * Opportunity to work with cutting-edge graph database technologies.
- Collaborative and innovative team culture.
- Career growth and professional development opportunities.
Requirements
Do you have experience in Scalability?, * 8+ years of experience in Java or Kotlin development.
- Hands-on experience with Neo4j, AWS Neptune, or other graph database platforms.
- Strong knowledge of Cypher, SPARQL, or similar graph query languages.
- Experience with microservices architecture and REST APIs.
- Solid understanding of data modeling and database design.
- Experience working with AWS or other cloud platforms.
- Strong problem-solving and analytical skills.
Preferred Skills
- Knowledge of Knowledge Graphs and Semantic Web technologies.
- Experience with RDF/OWL frameworks.
- Familiarity with Docker and Kubernetes.
- Experience with large-scale data pipelines.
- Understanding of graph algorithms and optimization techniques.