Data Pipeline Developer

Position: Data Pipeline Developer with Cynet Systems
Enhance AML monitoring efforts at Cynet Systems Inc. as a Data Pipeline Developer. Your expertise will build and refine data pipelines essential for transaction analytics and risk assessment.

This role focuses on creating reliable data processing systems that are compliant with regulations and optimized for performance. You will employ Apache Spark, Kafka, and cloud services like Azure or AWS to ensure transaction data is securely processed and actionable. Candidates should possess strong code skills in Python, Scala, or Java, along with solid SQL capabilities.

Key Responsibilities:

• Design real-time and batch data pipelines for fraud detection

• Process transaction data using Kafka and Apache Spark

• Develop ETL workflows for customer risk datasets

• Ensure compliance with data quality and auditability

• Support fraud risk teams with analytical data generation

Requirements:

• Expertise in Apache Spark, SQL, and Kafka

• Programming proficiency in Python, Scala, or Java

• Experience with in the Hadoop ecosystem

• Strong operational skills in Linux/Unix

• Knowledge in fraud monitoring systems and compliance

Join Cynet Systems and contribute to impactful data solutions that drive better outcomes.
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