🛠 Tech Stack

💼 About This Role

You'll design and implement GenAI solutions to optimize the Data Development Life Cycle (DDLC) using Azure Databricks and Fabric. You'll develop intelligent agents that act as copilots for the data team, automating tasks from ETL to visualization. You'll apply prompt engineering to generate optimized PySpark and T-SQL code, ensuring data governance and security.

🎯 What You'll Do

• Design GenAI solutions optimizing DDLC stages
• Develop agentic assistants for Databricks, ADF, and Fabric
• Integrate LLMs with SQL Server and Power BI for automation
• Define quality metrics for AI-generated artifacts

📋 Requirements

• Computer Science or related degree
• Solid experience in Data Engineering and DataOps
• GenAI solutions with OpenAI API or Azure OpenAI
• Azure Data ecosystem: Databricks, ADF, Fabric, SQL, Python/PySpark

✨ Nice to Have

• Microsoft Fabric deep knowledge
• RAG experience with technical documentation
• Azure Data Engineer or AI Engineer certification