Senior Fabric Data Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design and develop data solutions utilizing Microsoft Fabric, encompassing OneLake, Fabric Pipelines, Lakehouse, Warehouse, and Notebooks.

• Construct and enhance scalable ingestion and transformation pipelines with PySpark, Python, and SQL for both structured and unstructured datasets.

• Transition and harmonize data from legacy systems and enterprise platforms.

• Create API-driven and scheduled workflows for both internal and external systems, as well as downstream processing.

• Implement business rules pertaining to learning history, completion status, certifications, compliance, skills, and learner profile data.

• Develop curated, consumption-ready datasets and models for analytics, dashboards, and operational reporting.

• Conduct SQL development and optimization for reporting, analytics, and downstream usage.

• Set up automated data quality checks, reconciliations, monitoring, exception handling, and audit logging.

• Apply secure access controls using Azure AD, RBAC, managed identities, and secure connectivity patterns.

• Assist with CI/CD, code promotion, release management, and operational monitoring in Agile delivery settings.

⛳️ Requirements

• Over 7 years of experience in data engineering and enterprise data integration.

• Extensive hands-on experience with Microsoft Fabric and associated Azure data services.

• Strong proficiency in PySpark, SparkSQL, Python, and SQL/T-SQL.

• Proven experience in constructing ingestion and transformation pipelines from APIs, files, databases, and third-party platforms.

• Familiarity with curated data layers, data modeling, and analytics-ready datasets.

• Experience in tuning data pipelines for scalability, resilience, and cost-effectiveness.

• Solid understanding of security, access controls, and data governance practices.

• Proficient in Azure DevOps and Git-based deployment automation.

• Excellent analytical, troubleshooting, and communication skills.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related discipline.

• Ability to work independently and proactively in a dynamic delivery environment.

• Comfortable working within remote or hybrid teams that require cross-functional coordination.

🏝️ Benefits

• Flexible remote work options.

• Opportunity to engage in data migration and modernization projects.

• Experience working in Agile delivery environments.

• Coordination across various functions.

• Exposure to AI tools like GitHub Copilot and Claude.

• Professional development through Symbiotic Group’s Quality Management System Staff Development Model.