Senior Fabric Data Engineer modernizing enterprise data for Canadian IT consulting clients. Building Microsoft Fabric pipelines, curated datasets, security controls, and analytics-ready models.
Responsibilities
Design and implement data solutions using Microsoft Fabric, including OneLake, Fabric Pipelines, Lakehouse, Warehouse, and Notebooks
Build and optimize scalable ingestion and transformation pipelines using PySpark, Python, and SQL across structured and unstructured datasets
Migrate and harmonize data from legacy source systems and enterprise platforms
Develop API-driven and scheduled workflows for internal and external systems and downstream processing
Implement business rules for learning history, completion status, certifications, compliance, skills, and learner profile data
Build curated, consumption-ready datasets and models for analytics, dashboards, and operational reporting
Perform SQL development and tuning for reporting, analytics, and downstream consumption
Implement automated data quality checks, reconciliations, monitoring, exception handling, and audit logging
Enforce secure access controls using Azure AD, RBAC, managed identities, and secure connectivity patterns
Support CI/CD, code promotion, release management, and operational monitoring in Agile delivery environments
Requirements
7+ years of experience in data engineering and enterprise data integration
Strong hands-on experience with Microsoft Fabric and related Azure data services
Strong experience with PySpark, SparkSQL, Python, and SQL/T-SQL
Experience building ingestion and transformation pipelines from APIs, files, databases, and third-party platforms
Experience with curated data layers, data modeling, and analytics-ready datasets
Experience tuning data pipelines for scale, resiliency, and cost optimization
Working knowledge of security, access controls, and data governance practices
Experience with Azure DevOps and Git-based deployment automation
Strong analytical, troubleshooting, and communication skills
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
Ability to work independently and proactively in a fast-paced delivery environment
Comfortable operating in remote or hybrid teams with cross-functional coordination
Benefits
Remote work arrangement
Opportunity to support data migration and modernization initiatives
Work in Agile delivery environments
Cross-functional coordination
Exposure to AI tools such as GitHub Copilot and Claude
Staff development through Symbiotic Group’s Quality Management System Staff Development Model
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