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You will design and deliver resilient data solutions using Neo4j for fraud business partners while being an active contributor to the development team.
Responsibilities
Own the end-to-end software development lifecycle, from requirements analysis through deployment planning.
Transform data from relational databases into graph database models.
Contribute actively to the development and maintenance of applications, sharing project ownership.
Configure and recommend Neo4j database and infrastructure settings to optimize performance and resilience.
Develop solutions using Python, Apache Spark, Kafka, and Neo4j for data engineering and real-time processing.
Required Skills
8+ years of overall experience, including 3+ years as an Architect/Senior Developer with Neo4j Graph database.
3+ years of experience in Money Movement or Trades Monitoring (AML, Fraud, Surveillance in Wealth Management).
Strong proficiency in Neo4j Cypher Queries, Graph Data Science, and Data Ingestion.
Expertise in Python for batch data engineering on Apache Spark and real-time service integration with Kafka.
Advanced analytics skills to solve complex Graph problems using AI and ML.
Strong command of SQL for querying source databases like SQL Server and Impala.
Familiarity with the full SDLC phases: business requirements analysis, data architecture/modelling, development, testing, and deployment.
Ability to review and tune query performance using techniques like Indexes and modelling.
Strong verbal and written communication and analytical problem-solving skills.
Preferred Skills
Experience with Cloudera Hadoop.
Experience with Git and Continuous Integration systems.
