KDB Developer
Listed on 2026-07-30
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Software Development
Data Engineering
KDB Developer
Contract
New York, NY 10013
Job Description:
Details:
Must Have Skills (Top 3 technical skills only)
* 1. Data Analyst
2. SQL
3. Business Analysis
Seeking experienced KDB+ professionals with (2–8+ years dedicated KDB+/q experience) to support the development, enhancement, administration, and maintenance of a large-scale KDB platform supporting global Capital Markets businesses across Fixed Income, FX, and Equities.
Key Responsibilities
• Develop, maintain, and support KDB+ applications and platform components.
• Design and optimize solutions for real-time and historical market data processing.
• Manage and support large-scale KDB environments handling petabyte-scale data and 500+ users.
• Integrate KDB+ with real-time messaging platforms such as Solace, Kafka, and ION.
• Implement Dev Ops, automation, monitoring, and platform reliability practices.
• Troubleshoot performance issues and ensure platform stability and scalability.
Required Skills
KDB+ & q
• Strong experience in KDB+ development, administration, and production support.
• Deep understanding of:
o q language, data structures, and datatypes
o Array-oriented programming
o q-SQL and KDB-specific joins (asof, window joins)
o KDB database architecture, storage, and query optimization
o Inter-process communication
o Ticker plant, RDB, HDB, Gateway, and chained process architectures
Real-Time Data Platforms
• Experience integrating KDB+ with Solace, Kafka, or ION.
• Strong understanding of real-time market data processing and distribution.
Capital Markets
• Strong domain knowledge of:
o Fixed Income
o FX
o Equities
• Experience with trading, market data, or risk analytics platforms.
Dev Ops & Production Support
• CI/CD, deployment automation, and environment management.
• Experience with monitoring tools such as ITRS Geneos.
• Strong troubleshooting, performance tuning, and production support skills.
Preferred Experience
• Managing enterprise-scale KDB platforms with petabyte-scale datasets.
• Supporting global trading environments and mission-critical data platforms.
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