KDB/q Real-Time Analytics Engineer (Hybrid Toronto)

GFT; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A leading technology firm is seeking a KDB / q Developer in Toronto. You will design and maintain streaming data pipelines, optimize KDB / q applications, and collaborate with traders for real-time decision support. The ideal candidate has 3+ years of experience in KDB / q development, strong problem-solving abilities, and a bachelor’s degree in a relevant field. This role offers a hybrid work model.

Qualifications

• 3 years of experience in KDB / q development for real-time and historical analytics platforms.
• Strong understanding of trading workflows, market data feeds and risk systems.
• Excellent communication skills capable of articulating complex technical concepts.

Responsibilities

• Design, implement and maintain streaming data pipelines using Apache Flink.
• Develop and optimize KDB / q applications for storing and analysing trade data.
• Collaborate with traders and risk teams to deliver solutions for decision support.

Skills

KDB / q development

Real-time analytics

Query optimization

Kafka

Agile methodologies

CI / CD processes

Problem-solving

Communication skills

Education

Bachelor's degree in Computer Science, Engineering or related field

Tools

Apache Flink

Ansible

Terraform

Job description

A leading technology firm is seeking a KDB / q Developer in Toronto. You will design and maintain streaming data pipelines, optimize KDB / q applications, and collaborate with traders for real-time decision support. The ideal candidate has 3+ years of experience in KDB / q development, strong problem-solving abilities, and a bachelor’s degree in a relevant field. This role offers a hybrid work model.