Capgemini

Lead Data Engineer

Capgemini$91K — $100K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience managing data engineering pipelines in production environments
  • Strong expertise in Change Data Capture (CDC) with tools like Debezium
  • Hands-on experience with Google Cloud Platform (GCP) technologies (Pub/Sub, Dataflow, Datastream)
  • Proficient in working with Cloud SQL (PostgreSQL) environments
  • Experience managing staging and curated data layers for downstream applications
  • Solid understanding of production alerting and incident management
  • Strong programming skills in Java for data processing.

Responsibilities

  • Provide complete production support for data ingestion and processing pipelines
  • Monitor and manage CDC pipelines and batch ingestion from multiple sources
  • Address incidents, conduct root cause analysis (RCA), and implement fixes
  • Utilize GCP Pub/Sub for pipeline monitoring and alerting
  • Support data processing layers with staging and transformed datasets
  • Coordinate production deployments and testing across environments
  • Quickly troubleshoot and resolve data and pipeline issues within SLAs
  • Act as technical lead for AMS support and day-to-day operations

Benefits

  • Paid time off ranging from 12-25 days, depending on employee grade
  • Medical, dental, and vision coverage
  • Retirement savings plans (401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
Full Job Description
Job Located

Job is located in Toronto - Onsite Hybrid

Your Role

8+ years of experience in supporting and managing data engineering pipelines in production environments
• Strong experience in Change Data Capture (CDC) using tools like Debezium and handling file-based ingestion (CSV)• 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

Roles & 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'

The base compensation range for this role in the posted location is: 91000 - 100000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Founded
1967
NASDAQ

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