Job Description
We are seeking a Big Data Developer to build and enhance realtime and batch fraud analytics AML platforms that process high-volume financial transactions. The role focuses on developing scalable data pipelines that support transaction monitoring, alert generation, investigations and regulatory compliance.
Responsibility
Design and build realtime and batch data pipelines for fraud detection and AML monitoring
Process streaming transaction data using Apache Spark and Kafka
Develop ETL/ELT workflows supporting customer transaction and risk datasets
Ensure data quality, traceability and audit readiness to meet regulatory requirements
Optimize performance for low latency, high throughput fraud use cases
Support alert data generation and downstream analytics/investigation platforms
Monitor and troubleshoot production data pipelines in secure environments
Collaborate with fraud risk compliance and downstream appl...
Responsibility
Design and build realtime and batch data pipelines for fraud detection and AML monitoring
Process streaming transaction data using Apache Spark and Kafka
Develop ETL/ELT workflows supporting customer transaction and risk datasets
Ensure data quality, traceability and audit readiness to meet regulatory requirements
Optimize performance for low latency, high throughput fraud use cases
Support alert data generation and downstream analytics/investigation platforms
Monitor and troubleshoot production data pipelines in secure environments
Collaborate with fraud risk compliance and downstream appl...