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vTech Solution Canada

Report Developer

Toronto, ON, Canada

Contract

Apply About employer

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Job details

Job type: Contract
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Title: Report Developer

Location: Toronto, ON

Work Mode: Onsite

Duration: 6 months

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.

Role Overview:

The Government of Ontario 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.

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%

Apply About employer

More about this job

Responsibilities

Design, develop, and operate scalable data pipelines and data solutions on the Ontario Data Platform using Azure Data Factory, Databricks, and Azure Data Lake Storage. Improve data quality, performance, governance, and deployment automation while collaborating with technical teams and government stakeholders.

Requirements

A degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field is required. The role calls for experience with Azure data technologies, Databricks and Spark, Python and SQL, DevOps and CI/CD, data governance, and integration patterns.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Ontario Data Platform
Azure Data Factory
Azure Data Lake Storage
Databricks
Delta Lake
Lakehouse Architecture
Medallion Architecture
Python
SQL
Apache Spark
Azure DevOps
Git
CI/CD Pipelines
ETL/ELT
Data Engineering
Data Ingestion
Data Quality
Data Governance
Data Cataloguing
REST APIs
Application Integration
Automation
Agile
Power BI
Public Sector

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