Senior Data Engineer improving General Motors vehicle data pipelines, monitoring, and observability. Supporting reliable fleet software operations across Oshawa and Markham hybrid offices.
About the role
- Data Engineer building streaming pipelines and analytical databases for Movable Ink’s data-activated marketing personalization platform. Developing Elixir/Python services and reliable event-data products at billions-event scale.
Responsibilities
- Design, build, and maintain event streaming pipelines ingesting data from client systems, internal services, and third-party sources
- Develop and operate analytical databases and data models optimized for high-volume event 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 and design low-risk migration paths
- Build and maintain monitoring, alerting, and observability tooling to ensure pipeline health, data freshness, and SLA compliance
- Define and enforce event schemas, data contracts, and quality standards with producing and consuming teams
- Collaborate with data platform, product engineering, and analytics teams to deliver reliable event data products
- Participate in system design reviews and establish best practices for the Events Data team
Requirements
- Strong proficiency in Elixir and/or Python
- Advanced SQL skills for data modeling, query optimization, and analytical workloads
- Hands-on production-scale experience with columnar/OLAP databases
- Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink is a strong plus
- Ability to integrate and migrate legacy and modern systems
- Experience operationalizing production data pipelines, including monitoring, alerting, SLA dashboards, and runbooks
- Experience designing and operating data systems on AWS; GCP experience is a plus
- Strong collaboration and communication skills, including leading design discussions and writing technical specifications
- Experience with Infrastructure-as-Code tools such as Terraform, CloudFormation, or similar
- Retail events data experience is a plus
- Experience with Databricks, Flink, and message brokers such as Kafka, Pulsar, or Kinesis is a plus
Benefits
- Additional bonus depending on the position ultimately offered
- Medical benefits
- Financial benefits
- Other benefits
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