Job Description
Elevate your career as a Senior Data Engineer in Toronto, optimizing real-time data pipelines and enhancing fraud detection capabilities. Bring your expertise in high-volume data processing to our fintech team.
This role demands a seasoned engineer who enjoys tackling messy data sets and transforming them into actionable insights. As part of a hybrid team, you will maintain data integrity and work alongside software engineers to refine event-driven microservices. Your contributions will drive innovation and improve our overall data processing efficiency.
Key Responsibilities:
• Design and centralize data pipelines with Platform Engineering
• Master frameworks for daily engineering efforts
• Diagnose and resolve data flow issues
• Maintain high-volume data ingest and streaming platforms
• Optimize storage solutions to meet performance SLAs
Requirements:
• Bachelor's degree in relevant field
• Strong skills in Spark, Scala, Python, or Java
• Background wi...
This role demands a seasoned engineer who enjoys tackling messy data sets and transforming them into actionable insights. As part of a hybrid team, you will maintain data integrity and work alongside software engineers to refine event-driven microservices. Your contributions will drive innovation and improve our overall data processing efficiency.
Key Responsibilities:
• Design and centralize data pipelines with Platform Engineering
• Master frameworks for daily engineering efforts
• Diagnose and resolve data flow issues
• Maintain high-volume data ingest and streaming platforms
• Optimize storage solutions to meet performance SLAs
Requirements:
• Bachelor's degree in relevant field
• Strong skills in Spark, Scala, Python, or Java
• Background wi...