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Senior Data Engineer, Event Data
Movable Ink
Toronto, CAN
Full-time
Senior · 6+ years experience
Onsite
CAD 145000-185000 yearly / year
Discovered 3 weeks ago
ElixirPythonSQLApache FlinkKafkaPulsar
Free
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ElixirPythonSQL
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ElixirPythonSQLApache FlinkKafkaPulsar
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Responsibilities
- Design, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platform
- Develop and operate analytical databases and data models optimized for high-volume event data queries and low-latency access
- Write production Elixir and Python services for event processing, transformation, and routing
- Integrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumers
- Build and maintain monitoring, alerting, and observability tooling for event data systems, ensuring pipeline health, data freshness, and SLA compliance
- Define and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teams
- Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data products
- Participate in system design reviews and help establish best practices for the Events Data team
Qualifications
- 6+ years of professional experience in data engineering or backend/systems engineering, with significant focus on event-driven and streaming data systems
- Strong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline components
- Advanced SQL skills for data modeling, query optimization, and analytical workloads
- Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scale
- Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plus
- Demonstrated ability to integrate and migrate systems, bridging legacy and modern architectures
- Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems
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