Description

You will architect and build end-to-end data solutions on Microsoft Azure.

Responsibilities

• Architect end-to-end Microsoft Fabric solutions using Data Factory, OneLake, and Lakehouse.
• Design and deploy AI models leveraging Azure AI Foundry and Azure OpenAI Service.
• Implement Microsoft Copilot solutions across the ecosystem, integrating with Fabric data sources.
• Build and troubleshoot data pipelines from diverse sources including SQL, APIs, Salesforce, Oracle, and Dynamics.
• Optimize semantic models and implement medallion architecture (bronze, silver, gold).

Required Skills

• 8+ years in data engineering with cloud-native architecture on Azure.
• Hands-on experience with Microsoft Fabric components (Data Factory, OneLake, Lakehouse, Power BI, KQL).
• Strong proficiency in SQL, Python, DAX, and Spark/Python development.
• Experience integrating with Azure OpenAI, Copilot, and LLMs.
• Familiarity with containerization (Docker) and Azure Container Apps.
• Experience developing data pipelines from sources like Salesforce, Oracle, and Dynamics.
• Proficiency in DevOps practices and CI/CD implementation.
• Experience with Databricks platform.
• Knowledge of DataBricks and Python for advanced analytics.

Key Skills

Education

Any Gradute