Data Engineer with Automation

Capgemini • Toronto, ON

1d • CA$70,000 - CA$92,000

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

• Experience in designing, building, and maintaining automated testing frameworks for data pipelines and ETL processes.
• Experience in developing and deploying data quality validation frameworks.
• Experience in performing data analysis to identify quality issues, anomalies, and optimization opportunities.
• Experience in developing analytical dashboards and reports for monitoring data quality metrics and pipeline performance.
• Experience in building and optimizing CI/CD pipelines for data validation, testing, and deployment.
• Experience in collaborating with business stakeholders, data analysts, and platform teams.
• Experience in troubleshooting, diagnosing, and optimizing data processes.
• Experience in conducting code reviews and automated testing audits.
• Experience in documenting automation frameworks, testing strategies, analytics methodologies, and QE processes.
• Experience in participating in architectural decisions related to data quality and automation.

Nice To Haves

• Mentoring and guiding junior and mid-level engineers on QE principles, automation techniques, analytics, and testing strategies.

Responsibilities

• Design, build, and maintain comprehensive automated testing frameworks and analytical monitoring solutions for data pipelines and ETL processes.
• Develop and deploy data quality validation frameworks that prevent data issues before they impact downstream systems.
• Perform in-depth data analysis to identify quality issues, anomalies, and optimization opportunities in data pipelines.
• Develop analytical dashboards and reports for monitoring data quality metrics and pipeline performance.
• Mentor and guide junior and mid-level engineers on QE principles, automation techniques, analytics, and testing strategies.
• Build and optimize CI/CD pipelines for continuous data validation, testing, and deployment.
• Collaborate with business stakeholders, data analysts, and platform teams to define, implement, and enforce data quality standards.
• Troubleshoot, diagnose, and optimize data processes with a focus on quality assurance, reliability, and performance.
• Conduct code reviews and automated testing audits to ensure quality standards are met.
• Document automation frameworks, testing strategies, analytics methodologies, and QE processes for team knowledge sharing.
• Participate in architectural decisions that prioritize data quality, automation capabilities, and analytical insights.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed