Job
Description
Project Role :Custom Software Engineer
Project Role Description :Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills :Oracle Applications DBA
Good to have skills :NA
Minimum 5 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:A KDB+ / q-Language Developer is responsible for designing, developing, and maintaining high-performance time-series databases and real-time data processing systems. The role involves building q-based applications, optimizing queries, and ensuring low-latency ingestion of large financial datasets. The developer supports trading, analytics, and reporting teams by creating efficient data pipelines, real-time feeds, and analytical solutions. Key responsibilities include system performance tuning, production support, and integration with upstream/downstream platforms. The role requires strong analytical skills, proficiency in q-language, deep understanding of KDB+ architecture, and experience working in fast-paced financial environments.
Roles & Responsibilities:
Expected to be an SME.Design, develop, and maintain KDB+ databases Create schema, tables, partitions, and data pipelines. Implement reliable ingestion processes for real-time and historical data.Develop q-language scripts and applications Build q functions, queries, APIs, and utilities for performance-sensitive use cases. Optimize scripts for speed, memory usage, and scalability.Build analytics and reporting solutions Create time-series analytics, dashboards, and query interfaces for end-users. Support quants, traders, and data analysts with custom analytics.Troubleshoot slow queries, memory issues, and process bottlenecks. Optimize HDB (Historical Database) and RDB (Real-time Database) performance.Documentation & collaboration Maintain documentation for scripts, design decisions, and architecture. Collaborate with quants, traders, business users, and DevOps teams.Data quality, validation, and monitoring Ensure accuracy, consistency, and completeness of large financial datasets. Automate data checks and monitoring alerts.Engage with multiple teams and contribute on key decisions.Provide solutions to problems for their immediate team and across multiple teams.Facilitate knowledge sharing sessions to enhance team capabilities.Mentor junior team members to foster their professional growth.
Professional & Technical Skills: Strong expertise in KDB+ database architecture (RDB, HDB, IDB).Advanced proficiency in q-language (vector programming, functional programming).Strong experience with time-series data, tick data, and real-time processing.Hands-on with tick architecture, tickerplant, and real-time subscription systems.Understanding of memory-mapped files, partitions, and table schemas.Uses Q language which is an expressive & functional language. Relational dB + Column-Oriented Data Storage which is Ideal for time-series operations such as computing rolling averages, joins, and group-by on billions of records.In-Memory and On-Disk kdb+tick:A real-time, in-memory streaming database that captures and analyzes live data. Historical database (HDB):Persistent storage for historical data, usually on disk.You can combine & query both live and historical via a single interface (called kdb+ TP[gateway process])
Additional Information: Knowledge of capital markets, trading, derivatives, fixed income, FX.Exposure to cloud environments (AWS/Azure/GCP) with KDB integrations.Experience with data visualization tools (QStudio, KX Dashboards, Grafana)Minimum 15 years of education is required
Qualification15 years full time education
