Job Description

Job Description:

Job title: Azure Data Engineer

Job Location: Remote

Job Type: Contract

Must Have: Microsoft Stack, Azure, Fabric, AI, and QA

We are seeking a skilled professional to join our technology team, specializing in the Microsoft stack with a focus on Azure and Microsoft Fabric. The ideal candidate will have a strong background in Artificial Intelligence and proven expertise in Quality Assurance (QA). You will be responsible for designing, developing, and maintaining scalable, secure, and robust data and AI solutions, ensuring the highest standards of software quality and reliability. This role involves hands-on work with cloud-based architectures, data engineering, and AI-powered application testing, with opportunities to collaborate across teams and drive innovation in enterprise solutions123.

Key Responsibilities:

Design, implement, and maintain end-to-end data and AI solutions using Microsoft Azure and Fabric

Build and optimize data pipelines, dataflows, and real-time analytics solutions leveraging Azure Data Factory, Synapse Analytics, and Fabric Data Factory Pipelines

Develop and execute automated and manual test plans for AI-powered applications, ensuring reliability, security, and performance

Collaborate with data scientists, engineers, and business stakeholders to deliver integrated analytics and Power BI solutions within the Microsoft ecosystem

Ensure adherence to data governance, security, and compliance standards throughout the development lifecycle

Troubleshoot, monitor, and optimize cloud environments and application deployments

Stay current with Microsoft Fabric and Azure updates, recommending enhancements and best practices

Required Technical Skills

• Microsoft Azure Azure Data Factory, Synapse Analytics, Azure Machine Learning, Azure Cognitive Services
• Microsoft Fabric Data Factory (Fabric), Lakehouse, OneLake, Dataflows Gen2, Synapse Data Warehouse
• Programming/Scripting Net, Python, Scripting laguages .
• Data Engineering ETL/ELT processes, data modeling, real-time data streaming, Power BI integration
• AI & Machine Learning ML Ops, Copilot, Copilot Studio, retrieval augmented generation (RAG)
• QA & Test Automation Automated testing frameworks, CI/CD pipelines, security and performance testing
• DevOps & Cloud Ops Infrastructure as Code (ARM, Bicep, Terraform), cloud monitoring, troubleshooting
• Analytics & Visualization Power BI, DAX, dashboard/report development, data analysis

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