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Russell Tobin

Junior Report Developer

Toronto, ON, Canada

$60 to $65 CAD / hour · Contract

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Job details

Pay: $60 to $65 CAD / hour
Job type: Contract
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Russell Tobin & Associates is hiring on behalf of one of its esteemed clients.

Job Title: Junior Report Developer

Location: Toronto, ON (Onsite)

Duration: 133 business days (possible extension)

Client: Public Sector

Pay Rate: $60 - $65/hr [CAD]

Description

Role Overview:

Client is undertaking a large-scale Data & AI transformation initiative, with the Ontario Data Platform (ODP) serving as the enterprise technology ecosystem for data-driven decision-making, analytics, and artificial intelligence. ODP provides a modern and scalable data environment supporting data ingestion, storage, processing, governance, quality, marketplace capabilities, and advanced analytics across ministries and government organizations.

We are seeking a Data Engineer / Software Developer to support the design, development, and operation of enterprise data solutions on the Ontario Data Platform. The successful candidate will work with modern cloud technologies, including Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS), to build scalable data pipelines, enable analytics use cases, and support the delivery of high-quality data products across government.

Experience and Skill Set Requirements

Key Responsibilities

Data Engineering & Pipeline Development

Design, develop, and maintain scalable batch and near real-time data pipelines using Azure Data Factory (ADF), Databricks, and related cloud technologies.

Develop data ingestion frameworks to onboard data from various source systems into the Ontario Data Platform.

Build and optimize ETL/ELT processes to transform, cleanse, and prepare data for analytics and reporting.

Implement data validation, monitoring, and reconciliation processes to ensure data quality and reliability.

Databricks Development

Develop and maintain notebooks, workflows, and data processing jobs using Databricks.

Build data transformation pipelines leveraging Spark and Databricks Lakehouse architecture.

Support the implementation of medallion architecture patterns (Bronze, Silver, Gold).

Monitor and troubleshoot Databricks jobs, workflows, and performance issues.

Develop and manage Delta Lake tables and optimize data processing workloads for performance and scalability.

Data Storage & Integration

Design and manage data solutions utilizing Azure Data Lake Storage (ADLS).

Collaborate with source system teams to establish secure and efficient data integration patterns.

Implement data partitioning, optimization, and archival strategies to improve performance and scalability.

Support metadata management, data cataloguing, and governance initiatives.

Software Development & Automation

Develop reusable frameworks, scripts, and utilities to automate data engineering processes.

Participate in DevOps practices, including CI/CD pipelines, code reviews, testing, and deployment automation.

Maintain technical documentation, design specifications, and operational procedures.

Contribute to platform enhancements and continuous improvement initiatives.

Apply software engineering best practices including version control, test automation, code quality standards, and secure coding principles.

Collaboration & Stakeholder Engagement

Work closely with architects, product managers, data scientists, analysts, and business stakeholders to understand requirements and deliver technical solutions.

Participate in Agile teams and contribute to sprint planning, estimation, and delivery activities.

Provide technical guidance and knowledge sharing to team members and partners.

Participate in solution architecture reviews and contribute to technology roadmaps and design decisions.

Evaluation breakdown:

Technical(Power BI) - 80%;
Communication – 10%.
Public Sector exp – 10%

Qualifications:

Degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field.

Experience developing data solutions using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Databricks, Delta Lake and Lakehouse architecture principles.

Experience working with Azure DevOps, Git, CI/CD pipelines, and automated deployment practices.

Strong proficiency in Python, SQL, and Spark-based data processing frameworks.

Knowledge of data governance, security, privacy, and access control principles.

Experience with REST APIs, application integration patterns, and automation frameworks.

If this opportunity matches your experience and career goals, please share your most updated resume for consideration.

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More about this job

Responsibilities

Design, develop, and operate scalable data pipelines and transformation processes on the Ontario Data Platform using Azure Data Factory, Databricks, and Azure Data Lake Storage. Ensure data quality and performance, automate engineering workflows, maintain documentation, and collaborate with technical and business stakeholders to deliver analytics-ready data products.

Requirements

A degree or diploma in computer science, software engineering, information technology, or a related field is requested, along with experience using Azure Data Factory, Azure Data Lake Storage, Databricks, Delta Lake, and Lakehouse architecture. Candidates should be proficient in Python, SQL, and Spark, and have experience with Azure DevOps, Git, CI/CD, data governance, security, REST APIs, and application integration.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Ontario Data Platform
Data And AI Transformation
Azure Data Factory
Azure Data Lake Storage
Databricks
Delta Lake
Lakehouse Architecture
Medallion Architecture
Bronze-Silver-Gold
Python
SQL
Apache Spark
ETL/ELT
Data Ingestion
Data Pipelines
Data Quality
Data Governance
Azure DevOps
Git
CI/CD
Power BI
REST APIs
Data Integration
Agile
DevOps
Cloud Technologies
Data Cataloguing
Automated Testing
Public Sector

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