CLDRSRC10415 - Junior Data Engineer/Report Developer - Toronto - Onsite
Role Overview
Support design, development, and operation of enterprise data solutions on the Ontario Data Platform.
Use Azure Data Factory, Azure Data Lake Storage, and Databricks to build pipelines and support analytics and high-quality data products.
The title identifies this as a junior data engineer/report developer role.
Key Skills for This Role
Full Job Posting
Role overview
Support design, development, and operation of enterprise data solutions on the Ontario Data Platform.
Use Azure Data Factory, Azure Data Lake Storage, and Databricks to build pipelines and support analytics and high-quality data products.
The title identifies this as a junior data engineer/report developer role.
Must-have qualifications
- Degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field.
- Experience developing data solutions using Azure Data Factory, Azure Data Lake Storage, Databricks, Power BI, Delta Lake, and Lakehouse principles.
- Experience with Azure DevOps, Git, CI/CD pipelines, and automated deployment.
- Strong Python, SQL, and Spark-based data processing proficiency.
- Knowledge of data governance, security, privacy, and access control.
- Experience with REST APIs, application integration patterns, and automation frameworks.
Data engineering and Databricks
- Design and maintain scalable batch and near-real-time data pipelines and ingestion frameworks.
- Build and optimize ETL/ELT processes for analytics and reporting; implement validation, monitoring, and reconciliation.
- Develop Databricks notebooks, workflows, and Spark processing jobs; support Bronze, Silver, and Gold medallion patterns.
- Manage Delta Lake tables and optimize processing workloads; troubleshoot job, workflow, and performance issues.
Storage, automation, and collaboration
- Design Azure Data Lake Storage solutions and secure integrations with source system teams.
- Implement partitioning, optimization, and archival strategies; support metadata, cataloguing, and governance.
- Create reusable automation frameworks, scripts, and utilities; participate in CI/CD, code reviews, testing, and deployments.
- Maintain technical documentation and procedures, contribute to platform improvements, and collaborate across Agile delivery teams.
- Contribute to sprint planning, estimation, architecture reviews, roadmaps, and knowledge sharing.
Evaluation criteria
Technical evaluation, including Power BI, accounts for 80%; communication accounts for 10%; public sector experience accounts for 10%.
Workplace
- The source title explicitly states onsite and Toronto.
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