A critical role focused on designing, building, and maintaining scalable data infrastructure and solutions that enable the collection, storage, and processing of large volumes of data across the organization.
Compensation
Minimum Starting Salary: CAD $112,000
Responsibilities
Design, develop, and optimize scalable data pipelines for ingesting, transforming, and distributing data across multiple system.
Build and maintain ETL processes to prepare, cleanse, and transform data from diverse sources (databases, APIs, files, IoT, applications)
Automate workflows to improve reliability and reduce manual intervention
Ensure pipelines are fault-tolerant, performant, and aligned with data governance standards
Configure and manage Azure-based data platforms and services for data processing and storage
Responsible for designing and building inbound and outbound integrations within the Workday architecture and/or other assigned applications.
Responsibilities
Analyze, design, develop, and implement integration enhancements to support process requirements.
Manage and support system integrations within the Workday architecture.
Provide support for Workday inbound and outbound integration issues, changes to existing integrations and new integrations.
Provide support for incident management and integration monitoring.
Perform routine break/fix support and regression testing and support the inbound/outbound interfaces to the system and middleware.
Requirements
Bachelor's degree in relevant technical field (Information Technology, Computer Science, Software, Engineering, or related technical discipline) or equivalent combination of training and work experience.
This job is responsible for providing reporting support including leading the development work for automated reporting solutions serving one or more lines of business or business disciplines.
Responsibilities
Leads critical aspects in the development and maintenance of innovative automated business intelligence solutions, supporting data-driven business decisions
Designs, develops, and maintains automated data Extract, Transform, and Load (ETL) processes from various database platforms, storing data in ‘Fit for Use’ relational tables
leads analysis of disparate database sources including relational structures, dimensional data models, and cubes
Ensures on-time delivery of work while following established procedures and quality guidelines
Partners with business stakeholders to translate business requirements into technical specifications
Requirements
High School Diploma / GED / Secondary School or equivalent
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