Data Engineer (Fabric)

Role: Data Engineer (MS Fabric) Duration: 6-month contract Work Arrangement: Fully remote Location Requirement: Candidates must reside in Canada Language: English Background We are seeking an experienced Data Engineer with strong, hands-on Microsoft Fabric delivery experience to support a client in the healthcare technology sector. This role will focus on designing and implementing modern, scalable data solutions using Fabric-native capabilities, going beyond traditional Synapse and Power BI implementations. Candidates with prior healthcare or health-tech experience are strongly preferred. Key Responsibilities Design, build, and deliver end-to-end data solutions using Microsoft Fabric Develop and implement Fabric-native architectures, including Lakehouse, OneLake, and DirectLake Build and manage data pipelines and deployment pipelines within Fabric Design and optimize data models, data lakes, and warehouse solutions Integrate data from multiple sources while ensuring data quality, governance, and reliability Collaborate with business and technical stakeholders to define data requirements and solutions Support reporting and analytics through Fabric and Power BI integration Apply best practices for data governance, security, and performance optimization Qualifications Proven experience as a Data Engineer Hands-on delivery experience with Microsoft Fabric (beyond Synapse and Power BI) Strong expertise in: Lakehouse architecture OneLake and DirectLake Fabric deployment pipelines Experience with Azure Data Services (e.g., Data Factory, Synapse, Data Lake) Proficiency in SQL, Python, or similar Strong experience with ETL/ELT processes, data modeling, and cloud-based data platforms Experience in healthcare or healthcare technology environments is preferred Strong communication and collaboration skills Disclaimer: This role is for an external client project supported by Kyndryl and is not a direct hire with Kyndryl Canada.

The Data Engineer will design, build, and deliver end-to-end data solutions using Microsoft Fabric. This includes developing Fabric-native architectures and managing data pipelines while ensuring data quality and governance.

Candidates must have proven experience as a Data Engineer with hands-on delivery experience in Microsoft Fabric. Strong expertise in Lakehouse architecture and experience in healthcare or health-tech environments are preferred.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Engineering
• Microsoft Fabric
• Lakehouse Architecture
• OneLake
• DirectLake
• Fabric Deployment Pipelines
• Azure Data Services
• Data Factory
• Synapse
• Data Lake
• SQL
• Python
• ETL
• ELT
• Data Modeling
• Cloud-Based Data Platforms

Expérience minimale

5+ ans