Senior Fabric Data Engineer

Job Description This is a remote position. Position: Senior Fabric Data Engineer Location: Toronto, ON (Remote) Job ID#: DLTJP00060345 Duration: 9 Months Role Overview We are seeking a Senior Fabric Data Engineer with strong hands-on Microsoft Fabric experience to support data migration and modernization initiatives. This role focuses on building scalable ingestion, transformation, business-rule, and curated data layers that enable analytics, compliance reporting, skills insights, and downstream integrations. Key Responsibilities Design and implement robust 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 related enterprise platforms. Develop API-driven and scheduled workflows to ingest data from internal and external systems and support downstream processing. Implement business rules for learning history, completion status, certifications, compliance, skills, and learner profile data. Build curated and consumption-ready datasets/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. Required Skills & Qualifications 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. Preferred Skills Experience with learning, HR, or talent data domains. Familiarity with ADF, Synapse, Databricks, Azure Functions, or Logic Apps. Exposure to AI tools such as GitHub Copilot and Claude to accelerate engineering productivity and solution design. Experience with data governance tooling such as Purview. Exposure to AI/ML-ready data preparation and feature engineering practices. Education Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field. Work Environment Ability to work independently and proactively in a fast-paced delivery environment. Comfortable operating in remote or hybrid teams with cross-functional coordination. About Symbiotic Digital. Symbiotic Digital provides the IT Experts you need that solve problems and get things done. See what the top 2% in their field can do for you. (Symbiotic Digital is a division of Symbiotic Group Inc.) We serve customers in two ways, we provide: Digital Experts: IT Consulting expertise. Bright Minds That Produce Proven Results Recruitment: Find The Right People You Need Serving IT & Business leaders, Symbiotic Digital provides a business system that enable us to provide the Expert Technical staff needed to solve challenging business and IT problems. IT leaders in the most reputable organizations in Canada have relied on Symbiotic Digital to help them staff difficult assignments with proven Experts uniquely evaluated by our proven QMS- Quality Management System Staff Development Model. We are a 100% Indigenous owned company. Learn more online at https://www.symbioticgroup.com/home-sd/ . Please submit your most recent resume to: [email protected] View All Jobs online at: https://www.symbioticgroup.com/view-jobs/