TorontoFull TimeEngineering
Remotely
pythonsqlawskafkaflinkelixir
Also available on
Job Description
📋 Description
- Design, build, and maintain event streaming pipelines ingesting data from client systems and
- Develop analytic databases and data models for high-volume event data with low latency
- Write production Elixir and Python services for event processing, transformation, and routing
- Integrate legacy event pipelines with modern streaming infra and migration paths
- Build monitoring, alerting, observability tooling for data systems
- Collaborate with data platform, product engineering, and analytics teams to deliver data products
🎯 Requirements
- Proficiency in Elixir and/or Python for data services and connectors
- Advanced SQL skills for modeling and analytics
- Production experience with columnar/OLAP databases
- Experience with stream processing and brokers: Kafka, Flink, Kinesis
- Experience with Infrastructure-as-Code tools (Terraform, CloudFormation)
- AWS experience; GCP a plus
🎁 Benefits
- Medical, financial and other benefits
- Inclusive, diverse workplace culture
- Ground-floor opportunity to shape the data platform
- Remote-friendly with global teams
- Competitive compensation and career growth