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# Microsoft Fabric Data Engineer

- **Company:** Palni Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Continuous Integration, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Migration, Data Systems, Data Warehousing, Relational Databases, Microsoft SQL Server, SQL Azure, Performance Tuning, Role-Based Access Control, Power BI, Cloud Services, Standard Sql, SQL Databases, Azure Data Factory, Apache Spark, Git, Microsoft Fabric, Pyspark, Video Streaming, Data Pipelines
- **Published:** September 24, 2026
- **Apply:** https://www.dice.com/job-detail/842a4655-4e3e-4140-a512-274a1608f04d

## About the Role

* 5+ years of experience in Azure Data Engineering.
 * Strong hands-on experience with Microsoft Fabric.
 * Expertise in Fabric Data Factory, OneLake, Lakehouse, Spark/PySpark, and Fabric Warehouse.
 * Strong SQL and relational database experience.
 * Experience with ETL/ELT, data migration, and modern data architecture.
 * Understanding of Medallion Architecture and cloud data platforms.
 * Experience with Git/Azure DevOps and CI/CD.

Preferred Skills

 * Power BI and data modeling.
 * Microsoft Purview and data governance.
 * CDC or streaming technologies.
 * Microsoft Fabric / Azure Data Engineer certification.

## Description

We are seeking an experienced Microsoft Fabric Data Engineer to help migrate an existing SQL-based data platform to Microsoft Fabric. The role will focus on building scalable data pipelines, implementing a Medallion Architecture, and developing analytics-ready data solutions using Fabric, OneLake, Spark, and Fabric Warehouse., * Migrate data from Azure SQL, SQL Server, and legacy ETL platforms to Microsoft Fabric.

 * Develop and manage data pipelines using Fabric Data Factory.
 * Build Bronze, Silver, and Gold layers using Lakehouse and OneLake.
 * Develop data transformations using PySpark and SQL.
 * Design and optimize Fabric Data Warehouse solutions.
 * Implement incremental loads, CDC, partitioning, and performance optimization.
 * Ensure data quality, reliability, and consistency across pipelines.
 * Support RBAC, workspace security, data governance, lineage, and Microsoft Purview.
 * Implement CI/CD for Fabric artifacts using Git and Azure DevOps.
 * Collaborate with BI teams, architects, administrators, and business stakeholders.
 * Provide production support and troubleshoot data pipeline issues.


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