Role overview
Join the Fabric Center of Excellence to design and deliver contemporary data and AI solutions on Microsoft Fabric. The role combines data engineering, semantic modeling and Agentic AI to build scalable data products, AI Agents, Data Agents, ontologies and business-facing applications.
Key responsibilities
- Design and develop scalable data engineering solutions using Microsoft Fabric Lakehouse, Data Factory, pipelines and notebooks.
- Build ingestion, transformation and medallion-layer patterns for reliable, reusable and governed data products.
- Design and develop AI Agents, Data Agents, ontology-driven solutions and Retrieval-Augmented Generation (RAG) experiences.
- Create high-quality semantic models, relationships, calculations and DAX measures for analytics and AI consumption.
- Use Python, PySpark and SQL to develop production-grade transformations, orchestration and validation logic.
- Apply Semantic Link Labs and Fabric Notebooks to automate semantic-model engineering, testing, documentation and operational tasks.




- Integrate data and AI capabilities into web applications, APIs and business workflows.
- Collaborate with architects, platform engineers, product owners and business stakeholders from discovery through production deployment.
- Contribute to engineering standards, reusable accelerators, technical documentation and knowledge sharing across the CoE.

Required technical capabilities
- Strong Microsoft Fabric data engineering experience across Lakehouse, pipelines, notebooks and OneLake.
- Python, PySpark and advanced SQL for data processing and transformation.
- Semantic modeling, DAX, dimensional modeling and performance optimization.
- Knowledge of Agentic AI frameworks, RAG patterns, embeddings, vector search and LLM integration.
- Hands-on understanding of AI Agents, Data Agents, ontology concepts and AI-ready semantic models.
- Working knowledge of Snowflake and Databricks.
- Git, CI/CD, REST APIs, security fundamentals and production d

📌 Microsoft Fabric Data Engineer (Bengaluru)
🏢 Ecolab
📍 Bengaluru