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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level demand and Bangalore metro increase competition, but niche Fabric+Agentic AI skills limit candidate pool.
Role requires Microsoft Fabric, semantic modeling and Agentic AI experience, making skills less transferable across industries.
Mandatory DP-600 certification plus explicit 3-5 years and platform-specific skills tighten filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design and develop scalable data engineering solutions using Microsoft Fabric technologies including Lakehouse, Data Factory pipelines, and notebooks.
Build AI Agents, Data Agents, ontology-driven solutions, and semantic models to enhance analytics and AI applications.
Collaborate across teams to deliver production-ready data products, reusable engineering patterns, and integrated AI capabilities into business workflows.
Minimum Requirements
3-5 years of relevant experience in data engineering, analytics engineering, or AI solution development.
Bachelor’s degree in computer science, data engineering, AI, or related field, or equivalent experience.
Mandatory Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) certification.
Proficient with Microsoft Fabric (Lakehouse, pipelines, notebooks, OneLake), Python, PySpark, SQL, semantic modeling (DAX, dimensional modeling), and AI frameworks including Agentic AI and RAG.
Ideal Candidate Profile
Experienced in engineering end-to-end data and AI solutions leveraging semantic modeling and AI-ready ontologies within Microsoft Fabric.
Skilled in integrating modern AI/ML technologies such as embeddings, vector search, and large language models into scalable production environments.
Proficient working collaboratively with architects, product owners, and platform engineers to translate business requirements into secure, governed, and automated data and AI products.