Job Description

Position: Data Engineer

Location: Toronto (Onsite) possible F2F Interview

Job Description

6 8+ years of experience in supporting and managing data pipelines in production (L1/L2 support)
Experience in Data Collection flows using CDC tools (e.g., Debezium) and file-based ingestion (CSV)
Hands-on experience with GCP services including Pub/Sub, Dataflow (Apache Beam), and Datastream
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
Strong knowledge of production monitoring, alerting, and incident management processes
Programming experience in Java for pipeline support and enhancements

Roles & Responsibilities

Provide L1 and L2 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

Job Tags

Hourly pay, Permanent employment, Full time, Internship, Seasonal work

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