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Data Engineer

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Morson Talent

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Location:
Canada , Oshawa

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

92.00 - 100.00 CAD / Hour
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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

Additional Information:

Job Posted:
April 01, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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