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Morson Talent Logo Morson Talent · IT - Software Development

Data Engineer

Canada, Oshawa 92.00 - 100.00 CAD / Hour · Job Posted April 01, 2026
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Job Description

As an Azure and Databricks Data Engineer, you will be responsible for designing, building and supporting the data driven applications which enable innovative, customer centric digital experiences.

Job Responsibility

  • Designing, building and supporting the data driven applications which enable innovative, customer centric digital experiences
  • Building reliable, supportable & performant data lake & data warehouse products
  • Employing best practice in development, security, and accessibility
  • Building and productionizing modular and scalable data ELT/ETL pipelines and data infrastructure
  • Building curated common data models designed by the Data Modelers
  • Working closely with infrastructure, and cyber teams and Senior Data Developers to ensure data is secure
  • Cleaning, preparing and optimizing datasets for performance
  • Supporting Business Intelligence Analysts in modelling data for visualization and reporting
  • Troubleshooting issues related to ingestion, data transformation and pipeline performance
  • Collaborating with Business Analysts, data scientists, Senior Data Engineers, data Data Analysts and, solution Architects and Data Modelers
  • Assisting in identifying, designing, and implementing internal process improvements
  • Working with tools in the Microsoft Stack
  • Working within the agile SCRUM work management framework
  • Assisting in building data catalog and maintenance of relevant metadata
  • Developing optimized, performant data pipelines and models at scale using technologies such as Python, Spark and SQL
  • Documenting as-built pipelines and data products
  • Implementing orchestration of data pipeline execution
  • Creating tooling in collaboration with senior data engineers and data architects
  • Working with Continuous Integration/Continuous Delivery and DevOps pipelines
  • Monitoring the ongoing operation of in-production solutions
  • Implementing and managing appropriate access to data products
  • Writing and performing automated unit and regression testing for data product builds
  • Participating in peer code review sessions

Requirements

  • Completion of a four-year University education in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence, or machine learning
  • Experience as a Data Engineer designing and building data pipelines
  • Fluent in creating data processing frameworks using Python, PySpark, SparkSQL and SQL
  • Experience with Azure Data Factory, ADLS, Synapse Analytics and Databricks
  • Experience building data pipelines for Data Lakehouses and Data Warehouses
  • Good understanding of data structures and data processing frameworks
  • Knowledge of data governance and data quality principles
  • Effective communication skills to translate technical details to non-technical stakeholders
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