Publié hier
Report Developer - Junior
@ Upstaff
Toronto, Ontario
En bref
Upstaff is hiring a Junior Report Developer / Data Engineer for the Government of Ontario's Ontario Data Platform (ODP) initiative. The role builds scalable data pipelines, ETL/ELT processes and Azure-based analytics solutions. It is a full-time position.
Responsabilités :
- Design and maintain batch and near-real-time data pipelines
- Develop Databricks notebooks, workflows and Spark transformations
- Implement Bronze, Silver and Gold medallion architecture with Delta Lake
- Manage Azure Data Lake Storage solutions and data integration
- Support testing, deployment and CI/CD with Azure DevOps and Git
Résumé des exigences :
- Degree or diploma in Computer Science, Software Engineering, IT or related field
- Hands-on experience with Azure Data Factory and Databricks
- Proficiency in Python, PySpark and SQL
- Knowledge of Lakehouse architecture and Delta Lake
- Understanding of data quality and data governance
Outils et compétences
Source et dates
Type de source non vérifié · zoho
- Date publiée par l’employeur
- 2026-11-05
- Première détection par notre source
- 2026-11-06
- Mise à jour du dossier source
- 2026-11-06
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Débutant |
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Formation | Collégial (DEC) (préféré), Baccalauréat (préféré) |
| Domaines d’études | Computer Science, Software Engineering, Information Technology |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Upstaff
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 10 |
Position summary
The Government of Ontario is undertaking a large-scale Data and AI transformation initiative through the Ontario Data Platform (ODP).
The organization is seeking a Junior Report Developer / Data Engineer to develop, maintain, and optimize enterprise data solutions using Azure cloud technologies.
The successful candidate will build scalable data pipelines, develop ETL/ELT processes, support data integration, and enable analytics and reporting capabilities across government organizations.
Key responsibilities
Data Engineering and ETL Development
Design and maintain batch and near-real-time data pipelines.
Develop data ingestion frameworks.
Build and optimize ETL/ELT processes.
Implement data validation, monitoring, and reconciliation.
Databricks Development
Develop Databricks notebooks, workflows, and processing jobs.
Build Spark-based data transformation pipelines.
Implement Bronze, Silver, and Gold medallion architecture.
Manage Delta Lake tables and optimize performance.
Monitor and troubleshoot Databricks jobs.
Azure Data Storage and Integration
Develop data solutions using Azure Data Lake Storage (ADLS).
Implement data integration with source systems.
Apply partitioning, optimization, and archival strategies.
Support metadata management and data governance.
Software Development and Automation
Develop reusable scripts and automation frameworks.
Work with Azure DevOps, Git, and CI/CD pipelines.
Perform code reviews, testing, and deployment activities.
Maintain technical documentation.
Follow secure coding and software engineering standards.
Collaboration
Work with architects, data scientists, analysts, and business stakeholders.
Participate in Agile ceremonies and sprint planning.
Contribute to solution design and architecture reviews.
Provide technical guidance and knowledge sharing.
Required technical skills
Skill
Requirement
Azure Data Factory (ADF)
Data pipeline development
Azure Data Lake Storage (ADLS)
Cloud data storage
Databricks
Notebook and workflow development
Apache Spark / PySpark
Distributed data processing
Python
Scripting and development
SQL
Data querying and transformation
Delta Lake
Lakehouse and table management
ETL / ELT
Data integration and transformation
Azure DevOps
CI/CD and deployment
Git
Version control
REST APIs
Data integration
Data Governance
Security, privacy, access control
Additional requirements:
Degree or diploma in Computer Science, Software Engineering, IT, or related discipline.
Knowledge of Lakehouse architecture.
Experience with automated testing and deployment.
Understanding of data quality and data governance.
Journal
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