Data Engineer, Event Data
New
J
JobgetherSecurity & IT
Remote position in CanadaFull-Time
SalaryCAD $130,000–$165,000 base salary
Apply NowOpens the employer's application page
Job Details
- Required Skills
- AWSPythonSQLKafkaTerraform
Requirements
- Strong proficiency in Elixir and/or Python, with experience building application connectors, data services, or production pipeline infrastructure.
- Advanced SQL skills, including data modeling, query optimization, and analytical workloads.
- Hands-on experience operating columnar or OLAP databases in production at scale.
- Practical experience with stream-processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis.
- Demonstrated ability to integrate and migrate systems across legacy and modern architectures.
- Proven experience operationalizing production data pipelines, including monitoring, alerting, and incident-response practices.
- Experience designing and operating data systems on AWS.
- Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation.
- Strong understanding of scalable event-data architectures and production reliability.
- Excellent collaboration skills with the ability to lead design discussions and write technical specifications.
- Experience working with retail or customer-event data is a plus.
- Ability to take ownership in a newly formed team and contribute to architectural decisions.
Responsibilities
- Design, build, and maintain scalable event-streaming pipelines that ingest data from client systems, internal services, and third-party sources.
- Develop and operate analytical databases and data models optimized for high-volume event workloads, efficient querying, and low-latency data access.
- Build production-grade services in Elixir and/or Python for event processing, transformation, routing, and integration.
- Integrate legacy event pipelines with modern streaming infrastructure, designing migration strategies that reduce risk.
- Establish and maintain monitoring, alerting, observability, and operational tooling to ensure pipeline health.
- Define and enforce event schemas, data contracts, and data-quality standards.
- Partner with data platform, product engineering, and analytics teams to understand requirements and deliver event data products.
- Participate in architecture and system design reviews.
- Develop and maintain infrastructure using Infrastructure-as-Code approaches.
- Contribute to operational documentation and runbooks.
View Full Description & ApplyYou'll be redirected to the employer's site
