Our client is looking for Data Engineer for contract until the end of this year with possibility of extension
Hybrid - 3 days in office downtown Toronto with the following required skills.
QUALIFICATIONS
Professional
• Experience. 3+ years solving sophisticated technical data projects using the Microsoft Azure data stack or equivalent work experience. Financial industry application is preferred.
• A bachelor’s degree in a scientific or engineering field of study or equivalent work experience
• Microsoft Data engineer associate level certificate will be considered as an asset
• Industry Knowledge of best practices. Previous experience in developing and deploying operational procedures, tuning guides and best practices documentation
• Relationship Building. Consistent track record of building deep technical relationships. Experience in aligning expectations across various partners
• Problem-Solving. The ability to trace data lineage / workflows and resolve technical issues with minimal direction
• Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success
PREFERRED SKILLS
• Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management
• Experience in handling data in Python using libraries like Pandas, NumPy
• Proficient with SQL
• Experience with data architecture, modeling, data warehousing
• Breadth of technical experience and knowledge across the Azure Data Platform, with depth / Subject Matter Expertise in two or more of the following Data Platform resources:
o Azure Databricks, experience with Python
o Azure Functions and/or Web Apps using C#, .NET
o Azure Managed SQL Server
o Azure Data Factory
• Proven experience automating CI/CD pipelines using Azure DevOps or equivalent work experience
• Experience with containerization and container deployment to Kubernetes
• Experience developing star schema reporting pipelines using Kimball or Data Vault v2.0 methodologies