KDB Developer

Required Skills & Qualifications:

• 7+ years of experience in building high-performance data systems using kdb+/q.
• Strong expertise in time-series data modeling, tick data architecture, and real-time analytics.
• Experience leading teams or large-scale projects.
• Solid understanding of Linux systems, networking, and data caching.
• Familiarity with Python, Java, or C++ for integration and tooling.
• Experience with Kafka, AWS, Spark, or similar technologies is a plus.
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.

Key Responsibilities:

• Lead end-to-end design and development of kdb+/q-based data systems for real-time and historical market data.
• Architect scalable data pipelines to support analytics, trading, and risk systems.
• Collaborate with stakeholders including trading, quant, and technology teams to identify data requirements and optimize workflows.
• Manage a team of KDB developers, providing technical direction, mentorship, and code reviews.
• Oversee data ingestion, normalization, and query optimization for large-scale time-series data.
• Ensure data quality, performance tuning, and system resilience using best practices.
• Integrate KDB systems with Python, Java, or other analytics and visualization tools.
• Develop monitoring and alerting solutions for KDB environments.
• Stay current with KDB+/q enhancements, industry trends, and performance optimization techniques.

Preferred/Good to Have:

• Experience in investment banking, asset management, or capital markets environments.