• Designing, developing, and maintaining business data platforms • Using SQL and Python skills to execute high-quality projects • Ensures data quality and implements tools for automating identification of data quality issues • Profile data sources and develop ETL processes using SQL, Python and supporting ETL/ELT tools • Assists management in creating estimates and proposals for clients • Plan effective data storage, security, sharing and publishing • Create and update documentation of process flows and business rules • Maintain current workflows and process large amounts of data

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an Oracle Data Integration Developer who is responsible for developing, maintaining, and supporting data integration (ETL/ELT) solutions using Oracle Data Integrator (ODI). This role focuses on implementing data pipelines that load and transform data from multiple source systems into data warehouses, data marts, and analytics platforms. This is a fully remote position with work hours based on Eastern Standard Time (EST). - ODI Development - Develop and maintain ODI mappings, packages, procedures, and load plans - Implement ELT design patterns using database push-down processing - Build and manage scenarios and deployments - Develop incremental, full, and CDC-based data loads - Data Integration & Quality - Integrate data from various sources (Oracle DB, EBS, flat files, APIs, other RDBMS) - Implement data validation, reconciliation, and error handling - Analyze and resolve data discrepancies - Ensure data accuracy and completeness - Performance & Support - Tune ODI jobs for performance and scalability - Monitor and troubleshoot ODI execution failures - Support production batch schedules and on-call rotations - Participate in release and deployment activities - Collaboration & Documentation - Work closely with BI developers, architects, and DBAs - Support downstream consumers (OBIEE, OAC, BI Publisher, reporting tools) - Maintain technical documentation and runbooks Qualifications - Proficient in Oracle Data Integrator 12c - Strong SQL skills and working knowledge of PL/SQL - Strong understanding of data warehousing concepts, including facts, dimensions, and slowly changing dimensions (SCDs) - Experience with ETL/ELT design patterns, including incremental and full loads, change data capture (CDC) concepts - Experience with Knowledge Modules (KMs) - Ability to determine when to customize versus reuse existing components - Good knowledge of cloud readiness, specifically ODI on Oracle Cloud Infrastructure (OCI) - Familiarity with accounting concepts - Basic understanding of accounting principles or being able to get up to speed in accounting principles before joining Requirements - CGI anticipates accepting applications for this position through February 27, 2026 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

• Lead data architecture efforts including logical and physical data modeling • Design scalable database schemas and enterprise data structures to support analytics and reporting • Define standards for data modeling, naming conventions, and data quality practices • Support enterprise reporting needs by enabling clean, well-structured datasets and semantic layers • Partner with engineering and integration teams to align data design with system interfaces and workflows • Contribute to data governance, lineage, and documentation of key data entities and definitions • Optimize data models for performance, scalability, and maintainability • Provide architectural guidance for enterprise data warehouse and/or data lake implementations

• Cooperate on design and implementation of high-performance, scalable data solutions, including data lakes and streaming systems • Architect robust ETL/ELT pipelines and event-driven ingestion processes to ensure seamless data flow across PostgreSQL, Redshift, and DynamoDB • Optimize cloud resources for peak performance and cost-efficiency • Collaborate with cross-functional teams to translate business requirements into comprehensive, cloud-based solutions • Support data governance efforts, establishing policies that guarantee the highest standards of data quality, security, and compliance