Description

You will design and deliver resilient graph data solutions using Neo4j, owning the end-to-end software development lifecycle from requirements to deployment.

This role is remote.

Responsibilities

• Own the full SDLC, including business requirements analysis, data architecture, development, testing, and deployment.
• Transform relational data into graph database models and configure Neo4j infrastructure for optimal performance and resilience.
• Develop data engineering and real-time processing solutions using Python, Apache Spark, and Kafka.
• Review and tune query performance using indexes and advanced modelling techniques.

Required Skills

• 8+ years overall experience, with 3+ years as an Architect or Senior Developer using Neo4j.
• 3+ years experience in Money Movement, Trades Monitoring, AML, Fraud, or Surveillance.
• Strong proficiency in Neo4j Cypher, Graph Data Science, and data ingestion.
• Expertise in Python for batch data engineering on Apache Spark and real-time integration with Kafka.
• Advanced analytics skills to solve complex graph problems using AI and ML.
• Strong SQL command for querying source databases like SQL Server and Impala.
• Ability to optimize query performance through indexing and modelling.

Preferred Skills

• Experience with Cloudera Hadoop.
• Familiarity with Git and Continuous Integration systems.

Key Skills

Education

Any Graduate