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
• Strong 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, ON
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