Description

• Work with both normalized datasets and raw exchange data
• Develop real-time monitoring systems to detect data recording and quality issues
• Collaborate with operations teams to guide deployment and maintenance of the data capture stack
• Diagnose and debug full-stack issues-from Python-based management services to low-latency C++ components
• Optimize data storage and refine data retention strategies

• Experience handling massive raw and normalized datasets in distributed environments
• Fluency in Python and C++; familiarity with Java is a plus
• Strong problem-solving abilities under high-pressure scenarios
• Excellent communication and collaboration skills across teams
• Intellectual curiosity, initiative, and a growth mindset
• Confidence in both technical deep dives and broad system-level discussions
• A proactive approach to system ownership and continuous improvement
• Proficiency in Unix/Linux environments and associated tooling