Advance your career as a Big Data Developer at Capgemini, focusing on real-time and batch fraud detection systems. You will create data pipelines that enhance monitoring and investigations for financial transactions.
As part of a talented team, you will build and optimize data-driven solutions addressing fraud analytics and compliance needs. Utilize Apache Spark and Kafka for efficient transaction processing and regulatory adherence, ensuring data quality and traceability.
Key Responsibilities:
• Build data pipelines for AML monitoring
• Process high-volume streaming data using Apache Spark
• Develop workflows supporting transaction datasets
• Ensure compliance with audit-ready data processes
• Troubleshoot production data pipelines effectively
Requirements:
• Strong background in Apache Spark Core SQL Streaming
• Experience with Kafka or similar streaming technologies
• Proficiency in HDFS, Hive, and Hadoop ecosystem
• Programming skills in Python, ...