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Junior Report Developer

Dawn InfoTek Inc.
Toronto, CAN
Contract
Entry
Onsite
$60–$70 per hour
Discovered 4 days ago
Azure Data FactoryAzure Data Lake StorageDatabricksDelta LakeLakehouse architecturePython

Full Job Posting

Role overview

Join a team supporting a major banking client as a Report Developer.

The position is based downtown in Toronto, with five days onsite in the office.

Position type is contract.

Data engineering and pipelines

  • Design, develop, and maintain scalable batch and near-real-time data pipelines using Azure Data Factory, Databricks, and related cloud technologies.
  • Build ingestion frameworks to onboard data from 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 to support data quality and reliability.

Databricks development

  • Develop and maintain Databricks notebooks, workflows, and data-processing jobs.
  • Build Spark and Databricks Lakehouse transformation pipelines and support Bronze, Silver, and Gold medallion architecture patterns.
  • Monitor and troubleshoot Databricks jobs, workflows, and performance issues.
  • Develop and manage Delta Lake tables and optimize workloads for performance and scalability.

Storage, integration, and automation

  • Design and manage solutions using Azure Data Lake Storage and collaborate with source-system teams on secure, efficient integrations.
  • Implement data partitioning, optimization, and archival strategies; support metadata management, data cataloguing, and governance.
  • Develop reusable frameworks, scripts, and utilities to automate data engineering processes.
  • Participate in CI/CD, code reviews, testing, deployment automation, and software engineering best practices.

Collaboration and delivery

  • Maintain technical documentation, design specifications, and operational procedures; contribute to platform enhancements and continuous improvement.
  • Work with architects, product managers, data scientists, analysts, and business stakeholders to understand needs and deliver technical solutions.
  • Participate in Agile sprint planning, estimation, delivery, solution architecture reviews, and technology roadmap decisions.
  • Provide technical guidance and knowledge sharing to team members and partners.

Qualifications

  • Degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field.
  • Experience with Azure Data Factory, Azure Data Lake Storage, Databricks, Delta Lake, and Lakehouse architecture principles.
  • Experience 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.

Compensation and schedule

  • Pay is $60–$70 per hour.
  • Expected schedule is 37.5 hours per week.

Workplace

  • Work is onsite in the downtown Toronto office five days a week.

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