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Graph Database Engineer

Yoailabs — Netherlands · Posted ~1 day ago

Senior Full-time Onsite

Skills

Java Kotlin Neo4j AWS Neptune Cypher SPARQL REST APIs Microservices AWS

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Summary

Develop high-performance graph database solutions, backend services, and scalable APIs while designing efficient data models for complex enterprise systems.

Highlights

Work on large-scale graph database systems, modern backend services, cloud technologies, and scalable architectures.

Description

Job Description Job title: Graph DB EngineerExperience: 8-18 YearsLocation: Amsterdam, NetherlandsJob Type: Full-time Must Haves: Min 8 yrs hands-on experience in Java/Kotlin.Experience with Graph Databases like (Neo4j or Neptune).Experience in query languages (Cypher or SPARQL).Good understanding of data modeling, microservices, and REST APIs and Exposure to cloud platforms. Qualifications: Backend Development: 9+ years of hands-on experience with Java or Kotlin.Graph Databases: Proven expertise with Neo4j, AWS Neptune, or equivalent graph database technologies.Query Languages: Strong proficiency in Cypher, SPARQL, or similar graph query languages.Data Modeling: Deep understanding of data modeling principles and best practices.Microservices Architecture: Experience designing and building microservices-based systems.REST APIs: Solid knowledge of REST API design and implementation.Cloud Platforms: Working knowledge of AWS or other cloud environments.Location: Based in Amsterdam, Netherlands, or willing to relocate. Key Responsibilities: Design, develop, and optimize graph database solutions using Neo4j, AWS Neptune, or similar technologies.Write efficient queries using Cypher, SPARQL, and other graph query languages.Develop and maintain robust backend services using Java or Kotlin.Design and implement data models for complex relational structures.Build and integrate microservices architectures with REST APIs.Collaborate with cross-functional teams to translate business requirements into technical solutions.Optimize database performance and ensure scalability for large-scale data pipelines.Participate in code reviews and contribute to best practices documentation.