Détails du poste
- Lieu de travail : Montreal
- Type de poste : Permanent à temps plein
Description du poste
The Data Platform Directorate is responsible for implementing innovative capabilities that support Desjardins’ data-driven transformation. Functional analysts will work in an Azure cloud environment leveraging Infrastructure-as-Code (IaC), Configuration-as-Code (CaC), and Continuous Deployment (CD).
They are responsible for translating business needs into detailed functional and non-functional specifications to enable the development, configuration, and evolution of analytical solutions. They also contribute to the quality strategy and its implementation in medium to large-scale environments.
Main Mission
Ensure functional analysis and migration of existing analytical use cases to the new Data Platform (PDM). The role involves a deep understanding of current systems, dependency analysis, defining the target state, and supporting technical teams in rebuilding use cases within the PDM ecosystem.
Specific Responsibilities
- Perform in-depth analysis of existing analytical use cases (sources, transformations, business rules, pipelines, reports, models)
- Document the current state (as-is) and define the target state (to-be) adapted to the PDM
- Gather requirements and analyze new use cases (sources, transformations, business rules, pipelines, reports, models)
- Identify dependencies, impacts, and required adjustments
- Define functional specifications needed to build use cases in the data platform
- Support technical teams in integration and validation
- Ensure traceability between old and new systems
- Participate in testing strategy and functional validation
- Collaborate with BI, AI, Data Engineering, and Infrastructure teams
Exigences
Required Knowledge & Skills
- Knowledge of analytical architectures (data lakes, warehouses, ETL, pipelines)
- Knowledge of MLOps and LLMOps concepts
- Strong knowledge of ML/AI services: Azure ML, Azure OpenAI, Cognitive Services, Azure Search
- Generative AI and NLP (fine-tuning, prompt engineering, model integration)
- Python (required), R (an asset)
- Experience with Databricks (AI/ML context – an asset)
- Experience with current-state analysis, technology migrations, or functional reverse engineering
- Strong understanding of business rules and data transformations
- Familiarity with analytical platforms and BI
- SQL knowledge (preferred)
Associated Technology Environment
- Azure ML, Azure OpenAI, Azure Cognitive Services, Azure Search
- Databricks, Azure DevOps, Azure Data Lake, Azure Functions
- MS SQL Server, Splunk, Log Analytics, Dynatrace
- Python (required), R (asset)
- Databricks experience (AI/ML context – asset)
- SQL knowledge (preferred)
