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Added 23 mins ago
VB
Senior Financial Analyst (12-Month Contract)
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Toronto, ON
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Added 23 mins ago
B
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- $43.48 to $56.52 CAD / hour
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Are you ready to modernize payment operations through automation and analytics? Apply Now!
Added 23 mins ago
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Added 38 mins ago
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Report Developer - Junior
Joblinxsapp
Toronto, ON
- Full-time
…develop ETL/ELT processes, support data integration, and enable analytics and reporting capabilities across government…
Added 54 mins ago
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Added 1 hour ago
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Xanadu
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Added 1 hour ago
ES
Microsoft Solutions Architect
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Remote, Canada
- Full-time
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…Power Platform and Dynamics 365 automation, and Copilot and analytics…
Added 1 hour ago
C
Applications Development Sr Programmer Analyst - Assistant Vice President
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Added 1 hour ago
HD
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Hadley Designs
Remote, Canada
- $75,000 to $125,000 CAD / year
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X
Manager, Executive Social Media & Content
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Toronto, ON
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Data Engineer
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Joblinxsapp

Report Developer - Junior

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 6, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

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.

Apply About employer

More about this job

Responsibilities

Develop, maintain, and optimize scalable data pipelines and ETL/ELT processes using Azure, Databricks, Spark, and Delta Lake. Support data integration, quality, governance, automation, deployment, and analytics while collaborating with technical and business stakeholders.

Requirements

A degree or diploma in Computer Science, Software Engineering, IT, or a related discipline is required, along with knowledge of Lakehouse architecture. The role also calls for experience with automated testing and deployment and an understanding of data quality and governance.

Skills

Azure Data Factory
Azure Data Lake Storage
Databricks
Apache Spark
PySpark
Python
SQL
Delta Lake
ETL/ELT
Azure DevOps
Git
CI/CD
REST APIs
Data Governance
Data Quality
Data Pipeline Development

Visa sponsorship

Not detected in the job text

Keywords

Azure Data Factory
Azure Data Lake Storage
Databricks
Apache Spark
PySpark
Python
SQL
Delta Lake
ETL/ELT
Data Pipelines
Data Ingestion
Data Integration
Lakehouse Architecture
Medallion Architecture
Bronze, Silver, And Gold Layers
Azure DevOps
Git
CI/CD
REST APIs
Data Governance
Data Quality
Data Validation
Metadata Management
Automated Testing
Cloud Data Storage
Distributed Data Processing
Agile
Data Transformation
Data Security
Data Privacy

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