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About the Role
Shape the future of data engineering as a Lead at Bridgenext in Toronto. This hybrid role focuses on engineering Azure-based data solutions while embracing data modeling best practices.
As a Data Engineer and Modeling Lead, you'll combine your deep understanding of data structures with hands-on pipeline engineering. Here, you’ll lead projects that translate business requirements into optimized data models. Collaborating across teams, you will ensure data products deliver value while fostering mentorship and excellence in data standards.
Key Responsibilities:
• Define data products in collaboration with stakeholders
• Create structured data entities and engineer pipelines
• Maintain comprehensive data models supporting scalability
• Optimize Azure Data Factory and Databricks for efficiency
• Implement CI/CD practices in data engineering projects
Requirements:
• Bachelor’s degree in Computer Science or related field
• 8+ years in data engineering and modelin...
As a Data Engineer and Modeling Lead, you'll combine your deep understanding of data structures with hands-on pipeline engineering. Here, you’ll lead projects that translate business requirements into optimized data models. Collaborating across teams, you will ensure data products deliver value while fostering mentorship and excellence in data standards.
Key Responsibilities:
• Define data products in collaboration with stakeholders
• Create structured data entities and engineer pipelines
• Maintain comprehensive data models supporting scalability
• Optimize Azure Data Factory and Databricks for efficiency
• Implement CI/CD practices in data engineering projects
Requirements:
• Bachelor’s degree in Computer Science or related field
• 8+ years in data engineering and modelin...
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