MS Fabric Data Engineer

We are looking for a Data professional with strong Microsoft Fabric expertise to design, develop, and lead modern data engineering and analytics solutions. The ideal candidate should have strong experience in Microsoft Fabric, Azure Data Services, Data Engineering, and Data Architecture.
Key Responsibilities
Design and implement scalable data solutions using Microsoft Fabric.
Develop and manage data pipelines, ETL/ELT workflows, and data integration processes.
Work with Fabric Lakehouse, Data Warehouse, Data Factory, Dataflows, and Notebooks.
Define data architecture, data models, and integration strategies.
Work with business and technical stakeholders to understand data requirements.
Optimize data pipelines and solutions for performance, scalability, and reliability.
Lead technical discussions and provide guidance to data engineering teams.
Ensure data quality, governance, security, and best practices across data platforms.
Troubleshoot and resolve data engineering and integration issues.
Required Skills
8+ years of experience in Data Engineering, Data Architecture, or related data technologies.
Strong hands-on experience with Microsoft Fabric / MS Fabric.
Experience with Azure Data Factory and Azure data services.
Strong knowledge of SQL and preferably Python.
Experience with Lakehouse and Data Warehouse architecture.
Strong understanding of ETL/ELT, data pipelines, data integration, and data modelling.
Experience designing enterprise-scale data solutions.
Ability to work independently and lead technical initiatives.
About Us
We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at Careers@zoneitsolutions.com.
Also follow our LinkedIn page for new job opportunities and more.
Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Work arrangement
No