Senior Data Engineer
About The Position
CGI is seeking a Senior Data Engineer to design, develop, and support enterprise-scale data solutions that enable data management, integration, analytics, and business intelligence capabilities across the organization. This role combines application development, cloud engineering, database design, and operational support responsibilities within a modern AWS-based environment. The successful candidate will work on building and enhancing Master Data Management (MDM) solutions, cloud-native microservices, and scalable data platforms using AWS services, Java technologies, Redshift, Aurora PostgreSQL, and Infrastructure-as-Code practices. The position requires close collaboration with business stakeholders, architects, and engineering teams to deliver secure, reliable, and high-performing data solutions that support enterprise data initiatives.
Requirements
- 5+ years of experience in Data Engineering, Software Engineering, Data Platform Development, or a related technical field.
- Strong experience designing, developing, and supporting enterprise data engineering solutions.
- Hands-on experience with Master Data Management (MDM) platforms and data management principles.
- Advanced Java development experience, including enterprise application design and implementation.
- Experience building and deploying cloud-native microservices within AWS environments.
- Solid understanding of AWS services, particularly ECS, EC2, Lambda, Redshift, and Aurora PostgreSQL.
- Strong database development and optimization skills using SQL and PL/SQL.
- Experience designing and supporting large-scale data integration and data movement processes.
- Proficiency with GitLab CI/CD for automated build, deployment, and release management.
- Experience implementing Infrastructure-as-Code solutions using Terraform.
- Knowledge of data governance, data quality, metadata management, and enterprise data standards.
- Ability to troubleshoot distributed applications, cloud infrastructure, and database performance issues.
- Experience working with APIs, service-oriented architectures, and modern integration patterns.
- Familiarity with monitoring, logging, security, and operational best practices in AWS.
- Strong collaboration and communication skills with both technical and business teams.
- Experience working in Agile delivery environments.
Nice To Haves
- AWS certifications (e.g., AWS Certified Developer, Solutions Architect, or Data Engineer) are desirable but not required.
- Experience developing enterprise applications using Java.
- Experience designing and supporting AWS-based cloud solutions.
- Experience with data warehousing, relational databases, and enterprise data management platforms.
- Experience with CI/CD pipelines and Infrastructure-as-Code practices.
Responsibilities
- Design, develop, and support enterprise-scale data solutions that enable data management, integration, analytics, and business intelligence capabilities across the organization.
- Build and enhance Master Data Management (MDM) solutions, cloud-native microservices, and scalable data platforms using AWS services, Java technologies, Redshift, Aurora PostgreSQL, and Infrastructure-as-Code practices.
- Collaborate with business stakeholders, architects, and engineering teams to deliver secure, reliable, and high-performing data solutions that support enterprise data initiatives.
Benefits
- Competitive compensation
- Comprehensive insurance options
- Matching contributions through the 401(k) plan and the share purchase plan
- Paid time off for vacation, holidays, and sick time
- Paid parental leave
- Learning opportunities and tuition assistance
- Wellness and Well-being programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
