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United Kingdom
Work type
Hybrid
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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.

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