Overview
Skills
Job Details
Job Role: Sr. Neo4j Architect
Location: NYC
Experience: 8-10 Years
Type: Onsite
Skills:
Team Profile Non-Financial Risk Technology provides operational controls and surveillance capabilities to enhance the firm’s resilience to threats and fraudulent behavior. The Fraud Technology department is responsible for designing, developing, and maintaining applications, which helps the firm identify and prevent potential fraudulent transactions. We also provide technology expertise to our fraud analysts in operations.
• As an Architect/Senior Developer your role will be to create and deliver high quality, resilient data solutions to our fraud business partners using Neo4j DB and being a productive member of the development team.
• You will be expected to be actively involved in end-to-end software development lifecycle (Requirement Analysis, Data Analysis – Mapping - Modelling, Development, Testing, Deployment planning.
• You are expected to be able to do data transformation from Relational Database to Graph DB
• At least 3 years of experience in Money Movement or Trades Monitoring (AML, Fraud, Surveillance) within Wealth Management financial services.
• 8+ years of overall work experience and 3+ of Architect/Senior Developer level experience in Neo4j Graph database
• Strong in Neo4j Cypher Queries, Graph Data Science & Data Ingestion
• Should be able to review and recommend the Neo4j database & infrastructure configuration for optimal database performance and to improve resilience
• Should be able to do query performance tuning by adopting optimization techniques such as Indexes, modeling etc.,
• Strong with programming in Python to perform,
• Batch data engineering on Apache Spark and populate Neo4j & to generate downstream feeds for Data Science use cases
• Real-time service integration to process business events off Kafka and persist in Neo4j
• Near real-time stream processing to derive features for ML model inference
• Strong Advanced Analytics skills to solve complex Graph problems using AI & ML
• Ability to work in all the phases of SDLC – Business requirements analysis, data analysis, data architecture/modeling, development, testing & deployment
• Strong with SQL to query source databases like SQL Server & Impala.
• Experience in Cloudera Hadoop
• Experience of working with version control systems, GIT
• Experience with bash scripting
• Experience of working with Continuous Integration systems
• Hands-on experience with at least one of the job scheduling tools like Autosys (Preferred), Control-M etc.,
• Experience in Linux environment and can write Python/Shell script "