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 teams
Requirements:
- Strong 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 environments
Contribute your expertise to Cynet Systems and advance your career in data engineering while mitigating fraud risks.
Real-time Data Developer at Cynet Systems in Toronto employer: Cynet Systems
Cynet Systems Inc. is an exceptional employer that prioritizes employee growth and well-being, offering a comprehensive benefits package including medical, dental, and vision insurance, along with career development opportunities. Located in the vibrant Washington, DC metro area, our collaborative work culture fosters innovation and teamwork, making it an ideal environment for professionals seeking meaningful and rewarding careers in technology staffing.
