Senior Data Engineer – Cloud Data Pipelines & CDC

Capgemini; Toronto; Hybrid; CAD 91,000 - 100,000; Full time

Benefits offered by this job

Health benefits

Retirement savings RRSP

Paid time off

Employee assistance programs

Job summary

Capgemini in Toronto (Hybrid) is seeking a senior data engineer with 8+ years of experience to own and manage data ingestion pipelines in production. You will lead CDC-based streaming and batch data flows using Debezium, Pub/Sub, Dataflow, and Datastream on GCP, with PostgreSQL Cloud SQL as the data store, and collaborate across teams to ensure reliability and timely deployments.

The role emphasizes incident management, automation, and improving data platform stability, requiring strong Java

Qualifications

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

Responsibilities

• 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 (RCA), and implement preventive fixes.
• Work with GCP Pub/Sub topics, subscriptions, DLQs, and alerting mechanisms for pipeline monitoring.
• Support data processing layers including staging and transformed datasets.
• 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, coordinating 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.

Skills

CDC / Debezium

CSV ingestion

GCP Pub/Sub

Dataflow (Apache Beam)

Datastream

PostgreSQL (Cloud SQL)

Java data processing

Job description

Capgemini in Toronto (Hybrid) is seeking a senior data engineer with 8+ years of experience to own and manage data ingestion pipelines in production. You will lead CDC-based streaming and batch data flows using Debezium, Pub/Sub, Dataflow, and Datastream on GCP, with PostgreSQL Cloud SQL as the data store, and collaborate across teams to ensure reliability and timely deployments.

The role emphasizes incident management, automation, and improving data platform stability, requiring strong Java