We are currently seeking a highly skilled Report Developer to join our dynamic team and support one of our major banking clients.

Location: Downtown Toronto, ON (5 days onsite in the office)

Position Type: Contract

Required Skills and Technical Experience

- 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 productive 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.

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.

Pay: $60.00-$70.00 per hour

Expected hours: 37.5 per week

Work Location: In person

📌 Junior Report Developer (Toronto)
🏢 Dawn InfoTek
📍 Toronto