KDB Developer

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

Contract & Fulltime Opportunity Available - No Visa Sponsorship options for this role!

Hybrid Work 2-3 days work from client office in Downtown Toronto OR Mississauga

KDB / q Developer

Our client is seeking a hands-on developer with experience in KDB / q to support real-time and historical data processing needs within its Markets Technology group. This role focuses on building high-performance analytics platforms to support trading surveillance market data and regulatory reporting using in-house and open-source Flink deployments (not Confluent).

Responsibilities

• Design implement and maintain streaming data pipelines using Apache Flink (open-source non-Confluent) to process high-volume trade and market data.
• Develop and optimize KDB / q applications for storing and analysing tick data order books and market microstructure analytics.
• Collaborate with traders quants and risk teams to deliver solutions for real-time decision support and post-trade analysis.
• Integrate Flink-based services with Kafka internal APIs and downstream data consumers.
• Support internal infrastructure teams on deployment monitoring and tuning of clusters.

Required Qualifications & Experience

• 3 years of experience in KDB / q development for real-time and historical analytics platforms.
• 2 years of experience in query optimization, schema design for large time-series data sets, real-time data processing, memory and CPU tuning
• Strong understanding of trading workflows, market data feeds and risk systems in investment banking
• Experience with Kafka for stream ingestion and distribution.
• Familiarity with low-latency system design, performance tuning and distributed computing.
• Strong communication skills and ability to work with global teams across Markets and Risk.
• Solid understanding of Agile methodologies and CI / CD processes.
• Strong problem-solving skills with the ability to prioritize multiple tasks, set goals and meet deadlines.
• Excellent communication skills capable of articulating complex technical concepts in a multicultural team environment.
• Bachelors degree in Computer Science, Engineering or a related field (or equivalent experience).
• Prior experience in Equities FX or Fixed Income trading technology.
• Familiarity with CI / CD tools and infrastructure-as-code frameworks (e.g. Ansible Terraform).

Key Skills

CCTV,Computer Science,Corporate Marketing,E Learning,Arabic English Translation

Employment Details

• Employment Type: Full Time
• Experience: years
• Vacancy: 1