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Lorven technologies
Data EngineerLorven technologies • Toronto, ON, Canada
Data Engineer

Data Engineer

Lorven technologies • Toronto, ON, Canada
5 hours ago
Job type
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  • Part-time
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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
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Data Engineer • Toronto, ON, Canada

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