Data Engineer, Event Data

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, create, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources.

• Develop and manage analytical databases and data models that are optimized for high-volume event queries and low-latency access.

• Write production-ready services in Elixir and Python for event processing, transformation, and routing.

• Integrate legacy event pipelines with contemporary streaming infrastructure while designing low-risk migration strategies.

• Construct and uphold monitoring, alerting, and observability tools to ensure the health of pipelines, data freshness, and compliance with SLAs.

• Define and enforce event schemas, data contracts, and quality standards in collaboration with both producing and consuming teams.

• Work together with data platform, product engineering, and analytics teams to deliver dependable event data products.

• Engage in system design reviews and establish best practices for the Events Data team.

⛳️ Requirements

• Strong expertise in Elixir and/or Python.

• Advanced SQL capabilities for data modeling, query optimization, and analytical workloads.

• Practical experience with production-scale columnar/OLAP databases.

• Familiarity with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; experience with Flink is particularly advantageous.

• Ability to integrate and transition legacy systems and modern technologies.

• Experience in operationalizing production data pipelines, including monitoring, alerting, SLA dashboards, and runbooks.

• Background in designing and managing data systems on AWS; experience with GCP is an added advantage.

• Strong collaborative and communication skills, including leading design discussions and drafting technical specifications.

• Experience with Infrastructure-as-Code tools like Terraform, CloudFormation, or similar technologies.

• Experience with retail events data is a plus.

• Familiarity with Databricks, Flink, and message brokers such as Kafka, Pulsar, or Kinesis is an advantage.

🏝️ Benefits

• Additional bonus depending on the position ultimately offered.

• Medical benefits.

• Financial benefits.

• Other benefits.