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# Azure Data Engineer with MS Fabric and Power BI

- **Company:** IRIS SOFTWARE
- **Location:** United States
- **Contract:** Contract
- **Skills:** Business Analytics Applications, Microsoft Azure, Microsoft Online Services, Cloud Computing, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Migration, Data Systems, Data Warehousing, Python (Programming Language), Log Analysis, Microsoft SQL Server, SQL Azure, Performance Tuning, Power BI, Standard Sql, Azure Data Lake, SQL Databases, Transact-SQL, Enterprise Data Management, Azure Data Factory, Apache Spark, Powerquery, Microsoft Fabric, Pyspark, Deployment Automation, Data Management, Restful APIs, Azure Synapse Analytics, Stream Analytics, Data Pipelines, Serverless Computing
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/017e136c-3584-4960-9cf8-7c96005af30b

## About the Role

The candidate should have hands-on experience in data engineering, data warehousing, ETL/ELT development, and modern analytics architectures within the Microsoft ecosystem., Microsoft Fabric

 * Strong hands-on experience with:
 + OneLake
 + Fabric Data Factory
 + Lakehouse
 + Data Warehouse
 + Fabric Notebooks
 + Data Engineering Workloads
 + Real-Time Analytics
 + Data Activator

Azure Data Engineering

 * Azure Data Factory (ADF)
 * Azure Synapse Analytics
 * Azure Data Lake Storage Gen2 (ADLS)
 * Azure SQL Database
 * Azure Functions
 * Azure DevOps
 * Azure Monitor & Log Analytics

Database Technologies

 * SQL Server
 * Azure SQL
 * T-SQL
 * Data Modeling
 * Performance Tuning

Programming

 * Python
 * PySpark
 * SQL
 * Spark

Power BI

 * Data Modeling
 * DAX
 * Power Query
 * Dashboard Development
 * Performance Optimization
 * Report Publishing and Administration

## Description

We are seeking an experienced Azure Data Engineer with strong expertise in Microsoft Fabric, Azure Data Services, and Power BI. The ideal candidate will be responsible for designing, developing, and maintaining scalable data platforms, data pipelines, and analytics solutions that support business intelligence, reporting, and data-driven decision-making initiatives., * Design, develop, and implement end-to-end data solutions using Microsoft Fabric.

 * Build and maintain scalable data pipelines using Azure Data Factory, Fabric Data Factory, and Fabric Dataflows.
 * Develop and optimize Lakehouse, Data Warehouse, and OneLake solutions within Microsoft Fabric.
 * Integrate data from multiple sources including SQL Server, Azure SQL Database, REST APIs, ERP systems, and cloud applications.
 * Design and implement ETL/ELT processes using Azure Data Factory, PySpark, SQL, and Fabric Notebooks.
 * Develop and optimize data models for reporting and analytics.
 * Create interactive dashboards and reports using Power BI.
 * Implement data governance, security, data quality, and monitoring frameworks.
 * Collaborate with business stakeholders, data analysts, and architects to gather requirements and translate them into technical solutions.
 * Monitor and troubleshoot data pipeline performance and resolve production issues.
 * Implement CI/CD practices and deployment automation for data solutions.
 * Ensure compliance with enterprise data management and security standards.
 * Support data migration and modernization initiatives to Microsoft Fabric.