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

GFT Technologies SE

Toronto

On-site

CAD 90,000 - 120,000

Full time

25 days ago

Job summary

A leading technology company is seeking a KDB+ / q Developer to support real-time and historical data processing in Toronto. The role involves designing data pipelines with Apache Flink and optimizing KDB+ applications. Candidates should have a background in investment banking technology, with strong skills in query optimization and communication. This position offers a hybrid work model with 2-3 days in the office.

Qualifications

  • 3+ years of experience in KDB+ / q development for analytics platforms.
  • 2+ years of experience in query optimization and schema design.
  • Experience with low-latency system design and performance tuning.

Responsibilities

  • Design and maintain streaming data pipelines using Apache Flink.
  • Develop and optimize KDB+ / q applications for analytics.
  • Collaborate with traders and risk teams for decision support.

Skills

KDB+ / q development
Query optimization
Real-time data processing
Knowledge of trading workflows
Kafka experience
Problem-solving skills
Communication skills

Education

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

Tools

Apache Flink
CI / CD tools (e.g., Ansible, Terraform)
Job description
A leading technology company is seeking a KDB+ / q Developer to support real-time and historical data processing in Toronto. The role involves designing data pipelines with Apache Flink and optimizing KDB+ applications. Candidates should have a background in investment banking technology, with strong skills in query optimization and communication. This position offers a hybrid work model with 2-3 days in the office.
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