RQ10057 | Software Developer, Senior
2 days ago
8+ years experience
Opportunity Details
Client Reference
RQ10057
# of Openings
2
Start Date
December 15, 2025
End Date
March 31, 2026
Days for Contract
73
Extension
1 time
Assignment Type
Hybrid
Days in Office
4 days a week
Location
5700 Yonge Street, Toronto, ON
Cluster
Health Services Cluster
Ministry
Ministry of Public and Business Service Delivery and Procurement
Must Haves
IDMC Designs robust mappings, uses reusable transformations, parameterization, environment configs
- N/A
Public Sector Experience 5%
- Experience working in the Public Sector and familiarity with I&IT project management processes
- Build Informatica IDMC ETL processes including mappings, workflows, sessions, reusable components. Apply parameterization, environment configs, scheduling and failure handling.
- Configuring, tuning and monitoring techniques for Amazon Redshift and Redshift ingestion.
- Familiar with AWS services (S3, Athena, Lambda, Glue, Step Functions, CloudWatch etc).
- Relational database design and optimization experience.
- Security controls to safeguard sensitive data (PI and PHI).
- Query tunning.
- Dimensional data modelling for data warehousing.
- Advanced SQL and PLSQL (or equivalent).
- Extract/Transform/Load data.
- Proven troubleshooting and critical thinking skills
- Strong interpersonal skills with ability to work with client stakeholders to understand, interpret business requirements and its technical implications.
- Demonstrated ability to present technical solutions to client stakeholders, technical staff and to senior management.
- A motivated, flexible, detail-oriented and creative team player with perseverance, excellent organization and multi-tasking abilities, and a proven track record for meeting strict deadlines.
Responsibilities
- Informatica IDMC ETL Development: Build ETL processes including mappings, workflows, sessions, reusable components. Apply parameterization, environment configs, scheduling, failure handling, and restartability in IDMC.
- AWS/Redshift Ingestion & Transform: design S3 landing/staging areas for data integration. Implement UPSERT/MERGE logic for dimension/fact loads. Configure CloudWatch dashboards/alerts.
- Data architecture: end-to-end data flow diagrams; data masking/PHI handling; row/column-level security design for Cognos & Redshift.
- Data modeling: conceptual/logical/physical models (star/snowflake), Redshift dist/sort keys.
- Data mapping: field-level mappings with business rules, transformations, lineage, data quality validations, and exception handling.
- Any other deliverables as assigned by the Project/Resource Manager.
- Knowledge transfer to HSC staff in the form of a detailed guide or as per project requirements.
NOTE: AI tools may be used during the application process for development, formatting, and review of resumes and other Applicant materials. Applicant identifiers will be made anonymous.
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