Job Title: Microsoft Azure Data Engineer - NJ onsite; in-person interview

Location: Hamilton Township, NJ

Duration: 6 months

Note: Only locals; In-person interview;

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.

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

Key Words to search in Resume:

- Azure Data Engineer,

- AI models using Azure AI Foundry and Azure OpenAI Service.

- Databricks,

- DevOps