Description

You will architect, design, and implement graph-based data models and solutions.

Responsibilities

• Develop and optimize efficient graph queries using languages like Cypher, Gremlin, or SPARQL.
• Build and maintain data pipelines to load, transform, and integrate data from various sources into the graph database.
• Ensure the graph database and related applications remain scalable, performant, and secure.
• Build applications or APIs that leverage the graph database for relationship analysis or recommendation engines.
• Mentor junior developers on established graph best practices.

Required Skills

• 5+ years of professional experience.
• Hands-on experience with graph databases such as Neo4j or Amazon Neptune.
• Proficiency in graph query languages including Cypher, Gremlin, and SPARQL.
• Strong programming skills in Java and Python.
• Experience with ETL processes and data ingestion.
• Familiarity with data modeling principles for connected data.
• Understanding of data structures and algorithms, particularly graph theory.
• Experience within the financial industry.

Key Skills

Education

Any Gradute