08 Nov
|
Dawn InfoTek
|
Toronto
08 Nov
Dawn InfoTek
Toronto
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. Robust 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.
📌 Junior Report Developer (Toronto)
🏢 Dawn InfoTek
📍 Toronto