We are looking for a skilled Microsoft Fabric Data Engineer with up to 5 years of experience in building modern data solutions on Azure. The ideal candidate should have hands-on experience with Microsoft Fabric, Azure services, and data engineering concepts, including data pipelines, lakehouse architecture, and analytics.

Design and implement data solutions using Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Power BI).

Build and manage data pipelines for ingestion, transformation, and orchestration.

Work with Azure Subscription services such as Azure Data Lake, Azure SQL, and Azure Synapse components within Fabric.

Develop and optimize SQL queries and data models.

Perform data transformation using Notebooks (PySpark / Python) and Dataflows Gen2.

Ensure data quality, governance, and security using Fabric capabilities.

Integrate data from multiple sources (APIs, databases, files, streaming).

Collaborate with business and analytics teams to deliver reporting solutions.

Monitor and troubleshoot pipeline and performance issues.

Hands-on experience with Microsoft Fabric (Lakehouse / Warehouse / Data Factory)

Strong SQL and data query optimization skills

Experience with Azure ecosystem (ADLS, Azure SQL, Synapse, ADF concepts)

Knowledge of data engineering concepts (ETL/ELT, pipelines, orchestration)

Experience with PySpark / Python / Notebooks

Understanding of data modeling and analytics architecture

Exposure to Power BI for reporting and visualization

Experience with CI/CD in Azure DevOps

Knowledge of data governance, security, and access control

Familiarity with real-time/streaming pipelines

Understanding of Delta Lake / Lakehouse architecture