Position: Azure Data Engineer

Location: Toronto - Hybrid

Responsibilities:

• Lead the design and implementation of scalable data architectures using PySpark and Azure Databricks
• Oversee the development and deployment of data pipelines and workflows on Azure
• Provide technical guidance and mentorship to the development team
• Collaborate with cross-functional teams to gather and analyze requirements
• Ensure the performance, security, and reliability of data solutions
• Develop and maintain documentation for data architectures and processes
• Conduct code reviews and ensure adherence to best practices and standards
• Troubleshoot and resolve issues related to data processing and storage
• Optimize data processing workflows for efficiency and scalability
• Stay updated with the latest industry trends and technologies in data engineering
• Contribute to the continuous improvement of data engineering practices within the organization
• Engage with stakeholders to understand business needs and translate them into technical solutions
• Drive innovation and adoption of new technologies to enhance data capabilities

Qualifications

• Must have strong experience in PySpark for data processing and analysis
• Must have extensive experience with Azure Databricks for building and managing data pipelines
• Must have solid understanding of Azure services and their integration
• Nice to have experience with other big data technologies and tools
• Nice to have strong problem-solving skills and ability to troubleshoot complex issues
• Nice to have excellent communication and collaboration skills

Regards

Patrick Fernandez

Talent Acquisition Group - Strategic Recruitment Manager