Responsibilities
- Develop and maintain applications using kdb+/q.
- Write efficient q queries for processing large volumes of financial market data.
- Build and maintain real-time and historical data platforms.
- Work with tick, RDB, HDB and ticker plant architectures.
- Design end-to-end KDB+ architecture for real-time and historical data platforms.
- Define architecture for ticker plants, RDB, HDB, gateways and feed handlers.
- Design scalable and highly available systems for large-volume market data.
- Lead KDB+ performance tuning, capacity planning and database optimisation.
Requirements
- Strong hands-on experience in KDB+ and q programming.
- Good understanding of KDB+ database architecture and data modelling.
- Experience with real-time market data and time-series data.
- Experience handling high-volume, low-latency financial market data.
- Strong knowledge of performance optimisation, partitioning and data storage.
- Proven experience designing tick, RDB, HDB and real-time data platforms.
Job description provided by Atyeti.
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