Key Responsibilities:
- 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
Technical Requirements:
- Technology Cloud Platform Azure Devops Technology Microsoft Technologies Microsoft Fabric
Preferred Skills:
Technology->Microsoft Technologies->Microsoft Fabric,Technology->Cloud Platform->Azure Devops
