Big Data Developer

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...