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Mid-level AI role with popular LLM focus but niche Microsoft Fabric skills, creating moderate competition.
Core AI and data engineering skills transfer across industries, though Microsoft Fabric specialization somewhat limits portability.
Explicit 5+ years and many mandatory Azure/Fabric/LLM technical requirements enforce strict shortlisting.
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Design, develop, and deploy AI-powered automation solutions using Microsoft Copilot, LLMs, and Generative AI to improve operational efficiency and business outcomes.
Build and maintain scalable data lakes and ETL/ELT pipelines within Microsoft Fabric using Python, PySpark, Azure Data Factory, and related tools.
Implement enterprise governance, security, and compliance standards across Microsoft Fabric and Azure environments, including Row-Level Security and access controls.
Bachelor's degree in Computer Science, IT, Data Science, Engineering, or related field.
5+ years of experience in data engineering, AI development, analytics, or cloud platform engineering.
Proficiency in Python, PySpark, SQL, Kusto Query Language (KQL), and experience with Microsoft Fabric ecosystem components such as OneLake, Lakehouse, Power BI, and Azure Data Factory.
Hands-on experience with Large Language Models (LLMs), Microsoft Copilot, prompt engineering, Retrieval-Augmented Generation (RAG), AI agent development, and AI APIs integration.
Experienced in designing and deploying enterprise AI and automation solutions specifically on Microsoft Azure and Microsoft Fabric platforms.
Strong background in building modern data lake architectures, scalable ETL/ELT pipelines, and enterprise-grade Power BI semantic models supporting AI workloads.
Capable of implementing AI governance, security and compliance in cloud environments and collaborating across technical and business teams to deliver responsible AI solutions.