Junior Report Developer

Dawn InfoTek Inc. is a professional IT consulting firm that partners with major financial institutions, investment firms, and government organizations. We are committed to delivering innovative technology solutions and connecting top-tier IT talent with leading organizations.

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

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.