Lead Neo4J Data Engineer

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DATAECONOMY

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
kafka Spark Neo4j CI AWS Graph

Job Description

Job Summary:

We are seeking an experienced Neo4j Lead with strong expertise in graph database solutions and application design. The ideal candidate should have hands-on experience in Neo4j, a solid understanding of data engineering technologies, and the ability to design scalable, high-performance applications.

Key Responsibilities:

  • Design, develop, and implement solutions using Neo4j graph database
  • Lead the architecture and design of applications leveraging graph data models
  • Work closely with data engineering teams to integrate Neo4j with data pipelines and platforms
  • Optimize graph queries and ensure performance tuning of Neo4j databases
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Ensure best practices in data modeling, security, and scalability
  • Provide technical guidance and mentorship to team members

Requirements

Required Skills:

  • Strong hands-on experience with Neo4j (Cypher queries, graph modeling)
  • Experience in application design and architecture
  • Good understanding of data engineering technologies and ecosystems
  • Familiarity with APIs, microservices, and backend development
  • Knowledge of cloud platforms (AWS preferred) is a plus
  • Strong problem-solving and analytical skills

Preferred Skills:

  • Experience with big data technologies (Spark, Kafka, etc.)
  • Exposure to DevOps and CI/CD practices
  • Understanding of data security and governance

Soft Skills:

  • Excellent communication and stakeholder management skills
  • Ability to lead discussions and drive technical decisions
  • Proactive and solution-oriented mindset

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