Azure Data Engineer with MS Fabric and Power BI

IRIS SOFTWARE

United States

6 days ago

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Role details

Contract type

Contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

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

+24 more

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

Job 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.

Requirements

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

Benefits & conditions

Depends on Experience

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