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.

Strong SQL and dataprocessing skills.
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