Azure Data Engineer
7 days ago
Position Name – Technical Lead - Azure Data Engineer
Type of hiring – Fulltime/Subcon
Location – Brampton, ON (100% onsite)
Rate:
CAD $60-63/hr (max) for Sr. Developer
CAD $65-67/hr (max) for Technical Lead
Salary:
CAD $100-110K (max) for Sr. Developer
CAD $110-120K (max) for Technical Lead
Job Description:
We are seeking a skilled and experienced
Azure Data Engineer
with strong leadership capabilities to take on a hybrid role that combines hands-on development with technical team leadership. The ideal candidate will design and implement scalable data solutions on Azure, while also guiding and mentoring development teams to ensure best practices and high-quality deliverables.
Key Responsibilities:
Data Engineering & Development:
- Design, develop, and maintain scalable and efficient data pipelines using Azure services.
- Implement data integration solutions using Azure Data Factory, Azure Databricks, and other Azure tools.
- Build and manage data lakes and data warehouses using Azure Data Lake Storage, Azure SQL Data Warehouse, and Synapse Analytics.
- Ensure data quality through validation, cleansing, and transformation processes.
- Optimize data storage and retrieval for performance and cost efficiency.
- Develop data processing scripts using Python or Scala.
- Integrate with reporting tools for data visualization and insights.
Technical Leadership:
- Lead the design, development, and deployment of Azure-based solutions.
- Provide technical guidance and mentorship to development teams.
- Conduct code reviews and enforce coding standards and best practices.
- Troubleshoot and resolve complex technical issues and roadblocks.
- Collaborate with stakeholders to align technical solutions with business goals.
- Understand and potentially work with SAS code for legacy or integrated systems.
Required Skills & Qualifications:
- Proven experience as a Data Engineer and Technical Lead with a focus on Azure technologies.
- Expertise in Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Data Warehouse, and Synapse Analytics.
- Strong SQL and data modeling skills.
- Proficiency in Python or Scala for data processing.
- Hands-on experience with reporting tools (e.g., Power BI, Tableau).
- Strong understanding of Azure architecture and services.
- Excellent problem-solving, communication, and leadership skills.
- Experience with SAS or understanding of SAS code is a plus.
Azure certifications (e.g., Azure Developer, Azure Architect) are preferred
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