Microsoft Fabric Data Engineer
Ecolab (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About 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.