Posted 2 days ago
RQ11673 - Report Developer - Junior
@ Maarut
Toronto, Ontario
SIGNALS
Overview
Maarut is hiring a junior Data Engineer / Software Developer on contract to build and run data pipelines on the Ontario Data Platform for the Government of Ontario. The work centres on Azure Data Factory, Databricks, Delta Lake and Azure Data Lake Storage.
Responsibilities:
- Build and maintain batch and near real-time data pipelines in ADF and Databricks
- Develop and optimize Databricks notebooks, workflows and Delta Lake tables
- Design and manage data storage and integration on ADLS
- Automate data engineering processes with reusable frameworks and CI/CD
Requirements summary:
- Degree or diploma in computer science, software engineering or IT
- Experience with ADF, ADLS, Databricks, Delta Lake and Lakehouse architecture
- Experience with Azure DevOps, Git and CI/CD pipelines
- Strong Python, SQL and Spark skills
Tools & skills
Source and dates
Source type not verified · zoho
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-05
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Software development |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | College diploma (required) |
| Fields of study | Computer Science, Software Engineering, Information Technology |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Maarut
| Field | Value |
|---|---|
| Open jobs on Jobsy | 56 |
Job description
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.
Requirements
Experience and Skill Set Requirements:
Must Haves:
- 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.
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)
- Communication
- Public Sector exp
Journal
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