Microsoft Azure Data Engineer

New Yesterday

Max Pay Rate - $53.03/hr on W2 Title: Microsoft Azure Data Engineer
Must Have Technical/Functional Skills: • 8+ years in data engineering with cloud-native architecture. [Azure] • Hands-on experience with Microsoft Fabric components (Data Factory, OneLake, Lakehouse, Power BI, KQL). • Strong skills in SQL, Python, DAX, and Spark/Python development. • Experience with Azure OpenAI, Copilot, and LLM integration. • Familiarity with containerization (Docker), Azure Container Apps, and DevOps tools. • Strong communication and documentation skills
Preferred Certifications if any: • Microsoft Certified: Azure Data Engineer Associate • Microsoft Certified: Azure AI Engineer Associate • Microsoft Certified: Fabric Analytics Engineer Associate • Microsoft 365 Certified: Enterprise Administrator Expert
Primary Responsibilities: • Architect end-to-end Microsoft Fabric solutions including Data Factory, OneLake, Lakehouse, and real-time analytics platforms. • Design and deploy AI models using Azure AI Foundry and Azure OpenAI Service. • Implement Microsoft Copilot solutions across the Microsoft ecosystem, integrating with Fabric data sources. • Build and troubleshoot data pipelines from diverse sources (SQL, APIs, Salesforce, Oracle, Dynamics) using. • Optimize semantic models and implement medallion architecture (bronze, silver, gold). • Develop real-time streaming analytics using Event Streams and KQL databases. • Monitor performance using Fabric Capacity Metrics and resolve ingestion or modeling issues. • Plus Point - Build and require hands-on experience on Databricks platform - [Cherry on cake]
AI & Advanced Analytics: • Customize and implement Microsoft Copilot solutions (e.g., Copilot for Power Platform, Fabric). • Work with GPT models and prompt engineering via Azure OpenAI Service. • Build RAG (retrieval augmented generation) pipelines and hybrid search architectures. • Ensure responsible AI practices and governance. Governance & DevOps - Plus point • Establish data governance frameworks using Microsoft Purview and Fabric governance tools. • Implement CI/CD pipelines and DevOps practices for data and AI solutions. • Manage RBAC and zero-trust security across workspaces. Consulting & Leadership - Plus Point • Lead discovery sessions and client engagements to understand requirements. • Translate technical concepts into financial business value propositions. • Conduct workshops, knowledge transfers, and post-implementation support. • Mentor junior engineers and contribute to enterprise AI strategy
Generic Managerial Skills, If any: - Lead a Team of 3-5 developers. - Follow Scrum practices to lead team and manage deliveries.
Key Words to search in Resume: - Azure Data Engineer, - AI models using Azure AI Foundry and Azure OpenAI Service. - Databricks, - DevOps.
Apply
Location:
HAMILTON TWP, NJ, United States
Category:
Computer And Mathematical Occupations

We found some similar jobs based on your search