Full-Time Senior Data Engineer – Microsoft Fabric & Azure

• Lead the design, development, and deployment of scalable data pipelines and data warehouses using Microsoft Fabric components such as Data Factory, Synapse Analytics, and OneLake.
• Implement and optimize ETL/ELT workflows integrating diverse data sources including cloud platforms (Azure, AWS), relational databases, and flat files.
• Build and maintain semantic data models and dashboards using Power BI and other Fabric tools, ensuring high performance and data accuracy.
• Develop and manage medallion architecture following industry best practices for data lakes within Microsoft Fabric.
• Ensure rigorous data governance, security, and compliance leveraging Microsoft Purview and native security features.
• Monitor, troubleshoot, and fine-tune data pipelines and platform performance, proactively resolving issues and ensuring reliability.
• Collaborate closely with data scientists, analysts, and business stakeholders to translate business needs into technical solutions.
• Integrate DevOps practices including CI/CD pipelines, version control, and automation using scripting languages such as Python or PowerShell.
• Provide mentorship and knowledge transfer on Microsoft Fabric technologies and best practices.
• Stay current with Microsoft Fabric updates and emerging data engineering trends.

• Integration API Monitoring and Incident Escalation: Implement robust monitoring of integration APIs and timely escalation of incidents.
• Workspace and Resource Management: Create and manage Microsoft Fabric workspaces; manage Power BI datasets and data flows.
• User Administration: Assign roles and permissions; manage user access and licenses to ensure secure and efficient operations.
• Basic Reporting: Create basic reports and dashboards; share reports across the organization.
• Troubleshooting Connectivity: Quickly identify and resolve connectivity issues impacting data workflows.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum 5 years of progressive experience in data engineering, with at least 3 years working on Microsoft Fabric and Azure data services.
• In-depth knowledge of Microsoft Fabric.
• Experience with Fabric’s data engineering capabilities such as Spark-based transformations, lakehouse architecture using Delta Lake format, and integrated orchestration with Data Factory.
• Proven ability to design, build, and manage cloud-based, scalable data pipelines and storage solutions using Microsoft Fabric and Azure Data Engineering Suite.
• Familiarity with Power BI workspace management, datasets, dataflows, user roles, and report sharing within Fabric.
• Strong programming skills in SQL and Python.
• Hands-on knowledge of data governance, audit logging, and compliance frameworks powered by Microsoft Purview integration in Fabric.
• Experience with monitoring tools, incident escalation, and managing API integration within a cloud data ecosystem.
• Understanding of Azure Synapse Analytics offerings including Data Warehousing, Data Science, Real-Time Analytics, and how they integrate with Microsoft Fabric.
• Excellent communication and problem-solving skills.

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