Microsoft Fabric Professional (Azure Subscription)

Educational Requirements

Bachelor of Engineering,BTech,BCA,BSc,MTech,MSc,MCA

Service Line

Data Analytics Unit

Responsibilities

• Microsoft Fabric Development
• Design and implement solutions using Microsoft Fabric components: OneLake
• Data Factory
• Data Engineering (Lakehouse, Notebooks)
• Data Warehousing
• Power BI
• Build and maintain Lakehouse and Warehouse architectures
• Data Pipeline Integration
• Develop data ingestion pipelines from multiple sources (on-prem, cloud, APIs)
• Implement ETL/ELT workflows using Fabric Data Factory
• Orchestrate workloads using pipelines and triggers
• Data Engineering Processing
• Work with Spark (PySpark/Scala) notebooks in Fabric
• Transform large datasets using distributed computing
• Manage structured and unstructured data
• Analytics Reporting
• Integrate Power BI for data visualization and reporting
• Build semantic models and datasets
• Enable self-service BI capabilities
• Azure Subscription Management
• Deploy and manage resources within Azure subscription
• Handle access control (IAM), governance, and security
• Monitor performance and optimize costs
• Performance Optimization
• Optimize queries and storage in Lakehouse/Warehouse
• Implement partitioning and data modeling strategies
• Ensure high performance and scalability

Core Skills

• 35 years of experience in data engineering / Azure data services
• Hands-on experience with Microsoft Fabric (or Synapse + Data Factory equivalent)
• Strong SQL skills
• Experience with ETL/ELT pipelines
• Fabric / Azure Stack
• Microsoft Fabric
• Azure Data Factory (or Fabric Pipelines)
• Azure Synapse Analytics
• Data Lake (ADLS Gen2 / OneLake)
• Power BI
• Programming
• Proficiency in Python / PySpark / SQL
• Familiarity with Spark-based processing

Technical and Professional Requirements:

• Technology->Cloud Platform->Azure Devops
• Technology->Microsoft Technologies->Microsoft Fabric

Preferred Skills:

• Technology->Microsoft Technologies->Microsoft Fabric
• Technology->Cloud Platform->Azure Devops