Senior Data Engineer

New
CanadaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
7+ years
Required Skills
PythonSQLCloud ComputingAirflowData engineering

Requirements

  • 7+ years of experience in data engineering or related technical roles.
  • University degree in computer science, engineering, mathematics, or a related discipline.
  • Strong hands-on expertise with Azure Databricks, Python notebooks, and SQL development.
  • Extensive experience with Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure SQL, Airflow, Unity Catalog, and Lakeflow.
  • Proven experience building and managing scalable data pipelines, orchestration frameworks, and API service layers.
  • Strong understanding of enterprise-grade software engineering practices and reusable framework development.
  • Experience designing solutions capable of processing multi-million record datasets.
  • Ability to integrate AI capabilities into software development processes through automation.
  • Strong stakeholder management, communication, and facilitation skills.

Responsibilities

  • Design, develop, and maintain scalable data engineering solutions using Azure Databricks, Python, SQL, and cloud data platforms.
  • Build and optimize automated data ingestion, transformation, notebook execution, job scheduling, and deployment processes across Azure-based environments.
  • Develop and maintain data pipelines, API services, orchestration workflows, and reusable engineering frameworks.
  • Implement best practices for enterprise-grade software development, automation, and modern data engineering methodologies.
  • Partner with operations teams to integrate automated and self-service processes for data pipeline, notebook, and API service releases.
  • Drive the adoption of AI-enabled development practices, including reusable prompts, skills, instructions, and agents.
  • Collaborate with technology and business teams to understand data requirements and deliver solutions aligned with organizational objectives.
  • Support governance, risk management, compliance initiatives, and enterprise data platform standards.
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