Padmi

Microsoft Fabric Solution Architect

MumbaiPosted 2 months ago
Infrastructure And DatabasesSeniorFull Time; Regular
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MS Fabric Architect Area(s) of responsibility MS Fabric Solution Architect : Solution designing Prepare data models in a data warehouse Build semantic models in Power BI Develop and maintain ETL processes using Data Factory Integrate data from various ERP systems Ensure data quality and consistency across the data pipeline Optimize database performance and troubleshoot issues Over all 15-20 years of experience with MS fabric, data lake, Azure Data factory and Power BI Qualifications: Bachelors degree in computer science, Information Technology, or a related field. Proficiency with MSSQL Servers ON prem and Azure Cloud base. Experience with Fabric or AZURE Bi tools like Azure Data factory, Azure blob storage. Familiarity with Power BI and semantic model creation Strong understanding of data warehousing concepts and practices Experience with ETL processes and tools Ability to work with large datasets and complex data models Excellent problem-solving and analytical skills Effective communication and teamwork abilities Experience Level Senior Level MS Fabric Architect Area(s) of responsibility MS Fabric Solution Architect : Solution designing Prepare data models in a data warehouse Build semantic models in Power BI Develop and maintain ETL processes using Data Factory Integrate data from various ERP systems Ensure data quality and consistency across the data pipeline Optimize database performance and troubleshoot issues Over all 15-20 years of experience with MS fabric, data lake, Azure Data factory and Power BI Qualifications: Bachelors degree in computer science, Information Technology, or a related field. Proficiency with MSSQL Servers ON prem and Azure Cloud base. Experience with Fabric or AZURE Bi tools like Azure Data factory, Azure blob storage. Familiarity with Power BI and semantic model creation Strong understanding of data warehousing concepts and practices Experience with ETL processes and tools Ability to work with large datasets and complex data models Excellent problem-solving and analytical skills Effective communication and teamwork abilities Experience Level Senior Level

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