Become a vital player in fraud detection as a Real-time Data Developer with Cynet Systems Inc. This role focuses on the design and optimization of data pipelines for regulatory compliance and analytics.In this position, you will leverage tools like Apache Spark and Kafka to process streaming data and build critical ETL workflows for transaction datasets. You will need hands-on experience in SQL and programming, ensuring low-latency solutions that meet business and compliance needs. Collaborating closely with various teams, your work supports ongoing investigations in fraud analytics.Key Responsibilities:
Build real-time and batch processing data pipelines
Use Apache Spark and Kafka for data transactions
Develop and manage ETL workflows
Monitor data quality and compliance standards
Collaborate with fraud risk analysis teamsRequirements:
Robust background in Apache Spark, SQL, and Kafka
Proficient in Python, Scala, or Java
Experience with Hadoop ecosystem technologies
Operational familiarity with Linux/Unix
Exposure to fraud analytics and regulatory environmentsContribute your expertise to Cynet Systems and advance your career in data engineering while mitigating fraud risks.#J-18808-Ljbffr

📌 Real Time Data Developer At Cynet Systems Toronto (Canada)
🏢 Cynet Systems
📍 Canada