Role Name: Data Engineer Location: Toronto, ON JOB DESCRIPTION: Position: Data Engineer at C level Job Description: years of experience in supporting and managing data pipelines in production (L/L support) Experience in Data Collection flows using CDC tools (, Debezium) and file-based ingestion (CSV) Hands-on experience with GCP services including Pub/Sub, Dataflow (Apache Beam), and Data stream Experience working with Cloud SQL (PostgreSQL) environments Experience in CRM data ingestion and extraction into staging and harmonized data layers Understanding of API-based data enrichment within ingestion workflows Robust knowledge of production monitoring, alerting, and incident management processes Programming experience in Java for pipeline support and enhancements Roles & Responsibilities: Provide L and L operational support for data pipelines across staging and harmonized data layers Monitor data ingestion and extraction processes including CDC pipelines and CSV-based feeds, identifying failures, delays,



and data inconsistencies Perform incident triage and analysis using logs, metrics, Pub/Sub events, and alerts; resolve known issues within SLA boundaries Support data enrichment workflows ensuring accurate and timely processing before downstream consumption Work with GCP Pub/Sub topics, subscriptions, DLQs, alerts, and scheduled jobs for monitoring and operations Support minor enhancements and configuration changes under guidance of senior engineers Assist in testing and validation in lower environments and support controlled production deployments Handle service requests, including data fixes, reruns, reconciliation, and contributing to RCA for recurring issues Perform monitoring and housekeeping activities across GCP components Maintain and update runbooks, operational procedures, and known issue documentation Continuously identify improvement opportunities for stability, reliability, and operational efficiency

📌 Data Engineer (Toronto)
🏢 eTeam
📍 Toronto