Role Name: Lead Data Engineer Location: Toronto JOB DESCRIPTION: years of experience in supporting and managing data engineering pipelines in production environments Strong experience in Change Data Capture (CDC) using tools like Debezium and handling file-based ingestion (CSV) Hands-on experience with GCP technologies including Pub/Sub, Dataflow (Apache Beam), and Datastream Experience working with Cloud SQL (PostgreSQL) environments Experience in managing staging and curated data layers for downstream consumption Solid understanding of production monitoring, alerting, and incident management processes Experience in API-based integrations within data pipelines Strong programming experience in Java for data processing and support activities Roles & Responsibilities:



Provide end-to-end production support for data ingestion and processing pipelines Monitor and manage CDC pipelines and batch ingestion processes for multiple source systems Handle incidents, perform root cause analysis (RCA), and implement preventive fixes Work with GCP Pub/Sub topics, subscriptions, DLQs, and alerting mechanisms for pipeline monitoring Support data processing layers including staging and transformed datasets Perform production deployments and coordinate testing across lower environments Troubleshoot and resolve data, performance, and pipeline failures within SLAs Serve as technical lead for AMS support, coordinating day-to-day operations Own incident communication, escalation, and stakeholder updates Maintain operational runbooks and provide guidance to L/L support teams Identify recurring issues and drive continuous improvements for system stability and reliability

📌 Lead Data Engineer (Toronto)
🏢 eTeam
📍 Toronto