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.
Solid 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.
Solid 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 settings.
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.

📌 Lead Data Engineer Toronto (Canada)
🏢 J M Group
📍 Canada