Data Engineer
Offre en anglaisDevelop ETL pipelines using Python to extract data from various sources and manage it within SQL Server. Create and maintain Tableau dashboards and reports to deliver business intelligence solutions.
- Hybride
- Toronto, ON
- Publié 3 août 2026
- Postuler avant le 2 sept. 2026
- 1 poste
Résumé du poste
Role: Data Engineer Location: Downtown Toronto, Canada Duration: 12 months Hybrid: (3 days office, 2 days remote) Interview Type: Customer interview will be conducted in person at the customer’s downtown Toronto, Canada location Primary Technology Stack: Python (ETL Development) SQL Server (Database, Stored Procedures, Views, Functions, Query Optimization) Tableau (Dashboard Development & Reporting) REST APIs, Excel, CSV and other data sources Data Integration, Data Transformation and Analytics Reporting Key Responsibilities: Develop ETL pipelines using Python to extract data from APIs, Excel files, databases, and other source systems. Load and manage data in SQL Server databases. Develop and optimize Stored Procedures, Views, Functions, and SQL queries. Implement data transformation, validation, and business rules within SQL Server. Create and maintain Tableau dashboards, reports, and visualizations. Ensure data quality, integrity, and performance across the data pipeline. Collaborate with business stakeholders to gather requirements and deliver reporting solutions. Support production deployments, troubleshooting, and ongoing enhancements.
Ce que vous ferez
Develop ETL pipelines using Python to extract data from various sources and manage it within SQL Server. Create and maintain Tableau dashboards and reports to deliver business intelligence solutions.
Exigences
Requires proficiency in Python for ETL, SQL Server for database management and optimization, and Tableau for visualization. Experience with REST APIs and data integration from multiple source systems is necessary.
Compétences indiquées
- TableauSouhaitée
- API RESTSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- SQL Server
- Tableau
- ETL Development
- Stored Procedures
- REST APIs
- Data Integration
- Data Transformation
- Analytics Reporting
- Query Optimization
Domaines d’emploi
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 2 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Présence au bureau
- 3 jours par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte