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VDart Inc
Lead Data EngineerVDart Inc • Toronto, ON, Canada
Lead Data Engineer

Lead Data Engineer

VDart Inc • Toronto, ON, Canada
3 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Job Title: Lead Data Engineer

Location: Toronto , ON (Onsite)

Job Type: Contract


Responsibilities:

  • Lead the design, development, and implementation of scalable data engineering solutions on Microsoft Azure.
  • Architect and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks.
  • Build and optimize large-scale data processing frameworks using PySpark and Spark SQL.
  • Design and maintain enterprise data lakes and Delta Lake architectures.
  • Develop robust data models to support analytics, reporting, and business intelligence initiatives.
  • Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
  • Implement data quality, governance, security, and compliance best practices.
  • Design and support CI/CD pipelines for automated deployment of data engineering solutions.
  • Collaborate with solution architects, business analysts, data scientists, and stakeholders to translate business requirements into technical solutions.
  • Troubleshoot complex production issues and ensure high availability of enterprise data platforms.
  • Mentor junior and mid-level data engineers while promoting engineering best practices.
  • Participate in code reviews, architecture discussions, and technical design sessions.


Skills:

  • Lead the design and delivery of scalable data platforms using Azure Data Factory, Databricks, PySpark, SQL, and Delta Lake. Architect ETL/ELT pipelines, data lakes, and analytics solutions
  • Drive performance optimization, governance, CI/CD, and stakeholder engagement while mentoring teams and ensuring reliable enterprise data products
  • Strong experience with Azure Databricks and Azure Data Factory (ADF).
  • Expertise in PySpark, Apache Spark, and Spark SQL.
  • Strong SQL programming and database optimization skills.
  • Hands-on experience with Delta Lake, data lakes, and modern data architectures.
  • Experience designing enterprise-scale ETL/ELT pipelines.
  • Strong understanding of Azure cloud services and data engineering best practices.
  • Experience implementing CI/CD pipelines using Azure DevOps or Git-based deployment tools.
  • Knowledge of data governance, data security, and performance tuning.
  • Experience working in Agile/Scrum environments.
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Lead Data Engineer • Toronto, ON, Canada

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