Data Pipeline Engineering Specialist (Cybersecurity) (Hybrid)
HybridMontréal, Quebec, Canada
Job Summary
Data Pipeline Engineering Specialist (Cybersecurity) in Montreal, a Cyber Security Engineering III/Director-level role, responsible for designing, building, and operating data pipelines that ingest and process cyber event data for security analytics and monitoring. Collaborate with cyber security stakeholders to onboard and integrate new data sources; design and implement data mapping, transformation, and routing processes aligned to analytics and monitoring needs; build and maintain integrations across cloud and on-premises cyber systems; develop automation tools leveraging internal configuration management frameworks and APIs; monitor, maintain, and optimize performance, reliability, and scalability of data pipeline infrastructure; act as a senior escalation point for complex troubleshooting; produce and maintain detailed documentation for architecture, integrations, and operational processes.
Required Qualifications
- Hands-on experience with large-scale dataflow platforms (Cribl, Logstash, Apache NiFi)
- Experience integrating data pipelines across cloud platforms (AWS, Azure, Google Cloud) and on-prem
- Field extraction, validation, and data parsing/normalization (regular expressions, Elasticsearch, ECS)
- Understanding of operating systems and networking (Linux/Unix, HTTP, encryption)
- Experience with distributed event streaming platforms (Apache Kafka, AWS Kinesis, Google Pub/Sub, MQ)
- DevOps experience with Git, Jenkins, Jira
- Automation and infrastructure scripting using Python and Ansible
- Understanding of cybersecurity data, event types, and monitoring requirements
- Familiarity with Agile methodologies, Kanban
- Strong analytical thinking, troubleshooting, and communication skills
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