Data Engineer with Automation

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 to prevent issues from impacting downstream systems
• Perform in-depth data analysis to identify quality issues, anomalies, and optimization opportunities
• Develop analytical dashboards and reports for monitoring data quality metrics and pipeline performance
• Build and optimize CI/CD pipelines for continuous data validation, testing, and deployment
• Mentor and guide junior and mid-level engineers on QE principles, automation techniques, and testing strategies
• Collaborate with business stakeholders, data analysts, and platform teams to enforce data quality standards
• Troubleshoot, diagnose, and optimize data processes with a focus on reliability and performance
• Conduct code reviews and automated testing audits to ensure quality standards are met

Requirements

• Experience with automated testing frameworks and analytical monitoring solutions
• Strong knowledge of ETL processes and data quality validation
• Proficiency in building and managing CI/CD pipelines
• Strong data analysis skills to identify pipeline anomalies
• Experience troubleshooting and optimizing complex data processes

Benefits

• Paid time off including vacation, company holidays, personal days, and sick leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

About the Company

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world. With over 340,000 team members in more than 50 countries, we leverage market-leading capabilities in AI, cloud, and data to deliver end-to-end services and solutions.