Job Highlights Lead the design and implementation of Microsoft Fabric-centric data platforms and data warehouses Develop and optimize ETL/ELT processes within the Microsoft Azure ecosystem, effectively utilizing relevant Fabric solutions Ensure data integrity, quality, and governance throughout Microsoft Fabric environments Job Description Collaborate with stakeholders to translate business needs into actionable data solutions Troubleshoot and optimize existing Fabric implementations for enhanced performance Microsoft Fabric expertise: demonstrated experience in developing and maintaining complex data pipelines with Microsoft Fabric Data Engineering foundations: solid experience in data warehousing, ETL/ELT processes, and data modeling (dimensional, normalized) Azure knowhow: strong working knowledge of Azure services, especially Data Factory, Synapse Analytics, and Azure SQL Database Coding fluency: proficiency in SQL, Python, or other languages for data scripting, transformation, and automation Big data background: familiarity with big data technologies (Hadoop, Spark, etc.) Databricks familiarity: experience with Databricks technologies Machine Learning exposure: understanding how data transformations support downstream ML workflows Data Visualization skills: ability to develop dashboards or reports using tools like Power BI enhances insights delivery Key Skills No skills found,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Microsoft Fabric Indent Job in Marktine