KDB Developer

Radley James; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Radley James seeks a VP-level KDB developer in New York to build and maintain data architectures, pipelines, warehouses, and lakes ensuring accuracy, accessibility, and security. You will design processing algorithms and collaborate with data scientists to deploy ML models.

Ideal candidates have extensive KDB+/Q experience, low-latency optimization for time-series data, and strong engineering fundamentals, across front-office and electronic trading environments.

Qualifications

• Extensive experience with KDB+/Q, including tick architecture, CEP development, data simulation, and KDB+ design.
• Experience in low-latency development and optimizing queries for large-scale time-series data.
• Development experience in front office and electronic trading systems
• Strong knowledge of agile and SDLC processes
• Experience with Maven, Java, Git, Team City, Jira, and Confluence
• Strong mathematical, science or engineering background
• Full-lifecycle development of large distributed KDB+ systems

Responsibilities

• Build and maintain data architecture pipelines that enable transfer and processing of durable, complete data.
• Design and implement data warehouses and data lakes with appropriate security and performance.
• Develop processing and analysis algorithms for complex data volumes.
• Collaborate with data scientists to build and deploy ML models.

Skills

KDB+/Q

Low-latency

Time-series data

Java

Git

Maven

TeamCity

Jira

Confluence

Education

Engineering/math background

Tools

Maven

Git

Team City

Jira

Confluence

Job description

A global bank is looking for a VP level KDB developer in New York. You will be working to build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Key responsibilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Requirements

• Extensive experience with KDB+/Q, including tick architecture, CEP development, data simulation, and KDB+ database design.
• Experience in low-latency development and optimizing queries for large-scale time-series data.
• Development experience in front office and electronic trading systems
• Considerable knowledge of agile and SDLC processes
• Experience with Maven, Java, Git, Team City, Jira, and Confluence
• Strong mathematical, science or engineering background
• Full-lifecycle development a large commercial system, with a focus on significant development of large distributed KDB+ systems