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 details are sourced from the employer's original posting.
Open job postingAbout the company
Atyeti is a cloud consulting company that helps clients with cloud transformation, compliance, and risk management. They specialize in multi-cloud, zero-trust deployments and policy-driven workflows.