
Intellypod is an artificial intelligence company specializing in Generative AI solutions, machine learning, and digital transformation services. They provide tailored IT and digital services, including automation, analytics, and customer experience enhancements. With a focus on innovation, Intellypod has completed over 150 projects and serves more than 1,000 clients, positioning itself as a leader in the AI-driven technology space. Their mission is to empower businesses with advanced technologies that drive efficiency and sustainable growth.

Intellypod is an artificial intelligence company specializing in Generative AI solutions, machine learning, and digital transformation services. They provide tailored IT and digital services, including automation, analytics, and customer experience enhancements. With a focus on innovation, Intellypod has completed over 150 projects and serves more than 1,000 clients, positioning itself as a leader in the AI-driven technology space. Their mission is to empower businesses with advanced technologies that drive efficiency and sustainable growth.
Job Title: Microsoft Fabric Data Engineer
Location: Remote
Duration: Contract to Full time
Rate: $50-$55/hr
Experience: 3-5 Years (2+ years with Azure / Microsoft Fabric required)
Job Summary
We are looking for a skilled Microsoft Fabric Data Engineer to play a key role in implementing Microsoft Fabric and migrating the existing SQL based data platform to Microsoft Fabric. The candidate will design, build, and optimize modern data pipelines using Fabric Data Factory, load data into a medallion architecture onOneLake, leverage Spark, and Fabric Warehouse, enabling scalable, secure, and analytics-ready data solutions.
This role will work closely with data architect, Fabric administrators, BI teams, and business stakeholders to deliver a robust lakehouse-centric data platform.
Key Responsibilities
Data Migration & Engineering
Fabric Data Development
Performance & Optimization
Security & Governance
DevOps & Automation
Collaboration & Support
Required Skills & Qualifications
Technical Skills
Preferred / Nice-to-Have Skills
Soft Skills
Key Deliverables