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Lead Data Engineer

J M Group Inc - 38 emplois

Toronto, ON

Posté aujourd'hui

Détails de l'emploi :

Temps plein
Expérimenté

We are hiring for a Lead Data Engineer. The role focuses on production support and management of data engineering pipelines, including data ingestion, processing, monitoring, and incident management.
A strong fit will have 8+ years of production data engineering experience with GCP, CDC pipelines, Java, and data processing technologies.

What you bring

  • 8+ years of experience supporting and managing data engineering pipelines in production environments.
  • Strong experience with Change Data Capture using Debezium and file-based ingestion using CSV.
  • Hands-on experience with GCP Pub/Sub, Dataflow (Apache Beam), and Datastream.
  • Experience working with Cloud SQL (PostgreSQL) environments.
  • Experience managing staging and curated data layers for downstream consumption.
  • Strong understanding of production monitoring, alerting, and incident management processes.
  • Experience with API-based integrations within data pipelines.
  • Strong Java programming experience for data processing and support activities.

What you'll do

  • 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, and implement preventive fixes.
  • Work with GCP Pub/Sub topics, subscriptions, DLQs, and alerting mechanisms.
  • Support staging and transformed data processing layers.
  • 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 and coordinate day-to-day operations.
  • Own incident communication, escalation, and stakeholder updates.
  • Maintain operational runbooks and provide guidance to L2/L3 support teams.
  • Identify recurring issues and drive continuous improvements for system stability and reliability.

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