Microsoft Fabric Specialist

Job Description

Req ID: 326727 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Microsoft Fabric Specialist to join our team in Hyderabad, Telangana (IN-TG), India (IN). Job Description: We are seeking a Mid-Level Microsoft Fabric Support Specialist to join our IT team. The ideal candidate will be responsible for providing technical support, troubleshooting, and ensuring the smooth operation of Microsoft Fabric services. This role requires a deep understanding of Microsoft Fabric, data integration, and analytics solutions, along with strong problem-solving skills. Key Responsibilities: Provide technical support and troubleshooting for Microsoft Fabric services. Assist in the implementation, configuration, and maintenance of Microsoft Fabric environments. Monitor system performance and resolve issues proactively. Collaborate with cross-functional teams to optimize data workflows and analytics solutions. Document support procedures, best practices, and troubleshooting steps. Assist in user training and onboarding for Microsoft Fabric-related tools and applications. Stay up to date with the latest Microsoft Fabric updates and best practices. Required Qualifications: 5+ years of experience in IT support, with a focus on Microsoft Fabric or related technologies. Strong knowledge of Microsoft Fabric, Power BI, Azure Synapse, and data integration tools. Experience with troubleshooting and resolving issues in a cloud-based environment. Familiarity with SQL, data pipelines, and ETL processes. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a team environment. Preferred Qualifications: Microsoft certifications related to Fabric, Azure, or Power BI. Experience with automation and scripting (PowerShell, Python, etc.). Understanding of security and compliance considerations in cloud-based data platforms.