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AI Data Engineer Microsoft Fabric & AI (5-8+ Years) We are looking for an experienced AI Data Engineer with strong expertise in the Microsoft data and AI ecosystem to design, build, and optimize enterprise-scale data platforms and AI-powered analytics solutions. The role requires a customer-facing professional who can collaborate closely with business stakeholders and technical teams to deliver scalable, secure, and high-performance solutions. Key Responsibilities: Design and implement modern data platforms using Microsoft Fabric, Azure Data Services, and Power BI.Build scalable data pipelines, semantic models, and enterprise reporting solutions.Develop AI-powered solutions leveraging Azure OpenAI, Generative AI, LLMs, and RAG architectures.Optimize data platforms, Spark workloads, SQL queries, and Power BI performance.Establish data architecture, governance, security, and CI/CD best practices.Work directly with client stakeholders to translate business requirements into scalable technical solutions and drive successful adoption. Required Skills & Experience: 5-8+ years of experience in Data Engineering, BI, or Analytics.Strong hands-on expertise in Microsoft Fabric, Azure Data Platform, Power BI, Semantic Modeling, SQL, Python, and PySpark.Experience designing end-to-end enterprise data platforms and integrating AI capabilities into business applications.Strong understanding of data architecture, governance, and performance optimization.Excellent communication, stakeholder management, consulting, and problem-solving skills.The ideal candidate should combine deep technical expertise with strong client engagement skills to deliver modern data and AI solutions that enable advanced analytics and business transformation. AI Data Engineer Microsoft Fabric & AI (5-8+ Years) We are looking for an experienced AI Data Engineer with strong expertise in the Microsoft data and AI ecosystem to design, build, and optimize enterprise-scale data platforms and AI-powered analytics solutions. The role requires a customer-facing professional who can collaborate closely with business stakeholders and technical teams to deliver scalable, secure, and high-performance solutions. Key Responsibilities: Design and implement modern data platforms using Microsoft Fabric, Azure Data Services, and Power BI.Build scalable data pipelines, semantic models, and enterprise reporting solutions.Develop AI-powered solutions leveraging Azure OpenAI, Generative AI, LLMs, and RAG architectures.Optimize data platforms, Spark workloads, SQL queries, and Power BI performance.Establish data architecture, governance, security, and CI/CD best practices.Work directly with client stakeholders to translate business requirements into scalable technical solutions and drive successful adoption. Required Skills & Experience: 5-8+ years of experience in Data Engineering, BI, or Analytics.Strong hands-on expertise in Microsoft Fabric, Azure Data Platform, Power BI, Semantic Modeling, SQL, Python, and PySpark.Experience designing end-to-end enterprise data platforms and integrating AI capabilities into business applications.Strong understanding of data architecture, governance, and performance optimization.Excellent communication, stakeholder management, consulting, and problem-solving skills.The ideal candidate should combine deep technical expertise with strong client engagement skills to deliver modern data and AI solutions that enable advanced analytics and business transformation.
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