Microsoft(Azure) Fabric Lead/Developer

About the Company :

Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm.

Role : Microsoft(Azure) Fabric Lead/Developer

Experience: 5+ Years

Required skills: Azure, Microsoft(Azure) Fabric, Azure Fabric, Microsoft Fabric, Data Factory, Azure Data bricks, Azure DevOps, Azure Data Lake storage, SQL and Synapse data warehouse,

Job Location: Hyderabad, Pune, Gurgaon.

Role & responsibilities

• Define technical architecture for Microsoft Fabric data implementations and migrations
• Be the subject matter expert for migration from Azure and other coouds to Microsft Fabric
• Help design, develop, and solve issues with data pipelines that power the business applications with Microsoft Fabric technologies (OneLake, Data Factory, Synapse Analytics, etc.)
• Establish and champion engineering best practices: code evolution, metadata management, cloud DevOps, etc.
• Become the mentor leader for data engineers in the team, lead the technical aspects of building and maintaining a scalable reliable & secure data platform
• Maintain up-to-date knowledge of the data engineering technology advancements and best practices for new technology offerings
• Work with the practice CoE to define new offerings and services using Fabric

Qualifications:

• At least 5+ years of experience in Azure data engineering project implementations
• At least one project implementation experience using Microsoft Fabric
• Knowledge and expertise in Microsoft Fabric technologies; OneLake, Data Factory, Synapse Analytics
• Strong hands-on experience with Python, PySpark, SQL.
• Conceptual understanding of data warehousing and data modeling processes.