Description

You will build, manage, and optimize graph systems using native Neo4j storage and processing, owning the lifecycle from design to cloud deployment.

This role is remote.

Responsibilities

• Design, develop, and optimize complex, data-intensive ETL processes using Neo4j.
• Engineer graph systems for performance, scalability, latency, and reliability.
• Manage graph clustering, high availability, and cloud-based implementations.
• Integrate graph data with Apache Spark and utilize built-in ETL support.
• Troubleshoot and resolve issues in complex data pipelines.

Required Skills

• Deep experience with Neo4j, including graph scalability and clustering.
• Proficiency in Cypher scripting.
• Hands-on experience with Java, Python, or .Net.
• Experience with AWS, Azure, or GCP.
• Ability to manage graphs in the cloud and on Spark.
• Degree in any field of study.

Preferred Skills

• Experience with DevOps and automation.

Key Skills

Education

Any graduate