AI Automation Engineer – Data Integration and Workflow Automation
Astra North Infoteck Inc.
Montreal (Hybride)
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Détails du poste
- Lieu de travail : Montreal (Hybride)
- Type de poste : Permanent à temps plein
Description du poste
AI Automation Engineer – Integration, Workflow Automation & Data Analytics
Location: Montreal, QC
Work Model: Hybrid (3 days per week in office)
Compétences requises
- API Development & Integration Engineering
- Workflow Automation (Power Automate or equivalent)
- Data Analytics & Business Intelligence (BI)
Résumé du poste
- Design and implement scalable AI-driven automation solutions across enterprise systems.
- Develop integrations, automation workflows, and data analytics solutions to enable data-driven decision-making.
Responsabilités clés
Intégration - Développement & Ingénierie
- Design, develop, and maintain APIs, connectors, and integration pipelines across internal and external systems.
- Enable data exchange between enterprise applications, cloud platforms, and third-party tools.
- Build and optimize ETL/ELT pipelines for automation and analytics use cases.
- Ensure integrations are secure, scalable, and performant.
- Troubleshoot and resolve integration issues while maintaining system reliability.
Développement de l’automatisation & Gestion des workflows
- Design and implement automation workflows using Power Automate or equivalent platforms.
- Develop automated solutions for notifications, approvals, exception handling, and business process orchestration.
- Act as SME for workflow design and process optimization.
- Collaborate with stakeholders to identify automation opportunities and streamline manual processes.
- Monitor, maintain, and enhance automation workflows for efficiency and reliability.
Analytique des données & Business Intelligence
- Perform data mapping, transformation, and reconciliation across systems.
- Develop dashboards and reports using BI tools such as Power BI or Tableau.
- Enable real-time reporting for business and operational insights.
- Ensure data quality, consistency, and accuracy across reporting systems.
- Translate business requirements into analytical models and visualizations.
