Found Description
Responsibilities
- Design and build realtime and batch data pipelines for fraud detection and AML monitoring.
- Process streaming transaction data using Apache Spark and Kafka.
- Develop ETLELT workflows supporting customer transaction and risk datasets.
- Ensure data quality traceability and audit readiness to meet regulatory requirements.
- Optimize performance for lowlatency highthroughput fraud use cases.
- Support alert data generation and downstream analyticsinvestigation platforms.
- Monitor and troubleshoot production data pipelines in secure environments.
- Collaborate with fraud risk compliance and downstream application teams.
Required Skills
- Strong experience with Apache Spark Core SQL Streaming.
- Handson expertise in Kafka or realtime event streaming frameworks.
- Hadoop ecosystem HDFS Hive.
- Programming in Python Scala Java.
- Stron...