Microsoft Fabric Data Engineer | Python | PySpark | SQL | Databricks | Azure Data Factory

Job Description

We are looking for a Microsoft Fabric Data Engineer with robust experience in building scalable data pipelines and modern data platforms. The ideal candidate should have expertise in Python, PySpark, SQL, Databricks, and Azure Data Factory, along with hands-on experience in Microsoft Fabric.

Mandatory Skills
Microsoft Fabric
Python
PySpark
SQL
Databricks
Azure Data Factory (ADF)

Roles & Responsibilities
Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric.
Develop scalable data processing solutions using Python, PySpark, and SQL.
Build and maintain data pipelines using Azure Data Factory.




Work with Databricks for large-scale data engineering and transformation.
Develop data models and implement data integration solutions.
Optimize data workflows for performance and scalability.
Collaborate with business stakeholders, analysts, and engineering teams.
Follow best practices for code quality, testing, and deployment.

Experience
58 years of experience in Data Engineering.
Hands-on experience with Microsoft Fabric implementations.
Robust understanding of up-to-date data warehousing and lakehouse architecture.

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