Fraud Data Engineer

MW Partners is currently seeking a Fraud Data Engineer to work for our client who is a global leader in multimedia and creativity software products.

Responsibilities and duties :

• Design build and maintain robust ETL / ELT pipelines (batch and streaming) for structured and unstructured data using SQL and Python / PySpark.
• Collaborate with data scientists and business stakeholders to model query and visualize complex entity relationships using Neo4j.
• Optimize Neo4j data models and Cypher queries for scalability and performance.
• Build and manage large-scale ML feature stores and integrate them with AI and agentic workflows.
• Develop and maintain integrations across AWS (S3) and Azure (Blob Storage VMs) and third-party threat intelligence APIs to enrich fraud detection and investigation workflows.
• Automate workflows using Apache Airflow or equivalent orchestration tools.
• Apply DataOps best practices including version control (Git) CI / CD and monitoring for reliability and maintainability.
• Implement and enforce data quality lineage and governance standards across all data assets.

Requirements :

For a confidential discussion or to find out more contact Amit Kumar on or apply now.

Key Skills

Electrical,Academics,Customer Service,Computer Data Entry,Cardiac Surgery,Freight Forwarding

Employment Type : Full Time

Experience : years

Vacancy : 1