Key Responsibilities

• Provide advanced technical support for Microsoft Fabric customers across different service components (Data Engineering, Data Science, Data Warehousing, etc.).
  
• Own the onboarding process, helping the business and engineering teams set up and deploy their use cases on the Microsoft Fabric environment.
  
• Diagnose and troubleshoot issues related to data integration, pipeline management, applications, Power BI integration, and other fabric components.
  
• Identify and escalate critical issues to relevant teams and ensure timely resolution.
  
• Own and perform performance tuning, optimization, and various technical enhancements for the Microsoft Fabric solutions.
  
• Act as a subject matter expert (SME) on Microsoft Fabric and provide consultation to the customer/engineering team on how to best utilize the platform.
  
• Advise on architectural best practices, implementation strategies, and integration solutions.
  
• Conduct troubleshooting and deep-dive analyses of data workflows and advise on optimizations.
  
• Collaborate closely with internal teams (engineering/platform/etc) to report bugs, request enhancements, and relay the feedback to improve the product.
  
• Contribute to documentation, knowledge bases, and technical articles to ensure the team has access to the latest troubleshooting steps and solutions.

Required Skills

• Strong experience with Microsoft Fabric (e.g., Azure Synapse Analytics, Power BI, Data Factory), Databricks, Azure Functions, Logic Apps.
  
• Knowledge of data engineering concepts, ETL/ELT processes, and data pipeline management.
  
• Familiarity with data storage solutions (e.g., Azure Data Lake, Azure SQL Database, Cosmos DB).
  
• Experience working with batch and stream processing, and SQL.
  
• Proficient in using scripting languages like Python, SQL, or PowerShell for troubleshooting and automation.

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