Big Data Engineer Fraud Detection

Position: Big Data Engineer for Fraud Detection
Capgemini is hiring a Big Data Engineer to develop advanced fraud detection platforms. Use Apache Spark and Kafka to process transactions and ensure compliance across financial services.

As a Big Data Engineer, you will build real-time and batch job workflows that track financial transactions. Your contributions will aid in generating alerts for compliance investigations, emphasizing optimal data quality and traceability. Collaborate with a diverse team to enhance monitoring processes and troubleshoot production pipelines.

Key Responsibilities:

• Design and implement data processing pipelines

• Handle streaming data with Apache Spark and Kafka

• Develop workflows for financial transaction data

• Maintain data quality and audit readiness

• Support production data pipeline troubleshooting

Requirements:

• Strong background in Apache Spark and SQL

• Experience with Kafka or similar streaming systems

• Knowledge of Hadoop and Linux environments

• Programming proficiency in Python or Java

• Exposure to AML monitoring and regulatory compliance

Enhance your career while shaping financial technology solutions at Capgemini.
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