Microsoft Fabric Development
Design and implement solutions using Microsoft Fabric components:
OneLake
Data Factory (Fabric pipelines)
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
3-5 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

Experience with real-time analytics or streaming (Event Hub, Kafka)
Knowledge of Delta Lake / Lakehouse architecture
Familiarity with CI/CD (Azure DevOps, GitHub)
Microsoft Certifications (e.g., DP-600, DP-203)

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