Microsoft Fabric Data Engineer
Ecolab Inc.2 months ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design and develop scalable Microsoft Fabric data engineering solutions using Lakehouse, Data Factory, pipelines, notebooks and OneLake.
- Build ingestion, transformation, medallion-layer and validation patterns for reliable, reusable and governed data products.
- Develop AI Agents, Data Agents, ontology-driven solutions and Retrieval-Augmented Generation experiences.
- Create semantic models, relationships, calculations and DAX measures optimized for analytics and AI consumption.
- Use Python, PySpark, SQL, Semantic Link Labs and Fabric Notebooks for production transformations, orchestration, testing, documentation and operational automation.
- 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 Center of Excellence.
Requirements
- Bachelor's degree in computer science, data engineering, artificial intelligence or a related discipline, or equivalent relevant experience.
- 3-5 years of relevant experience in data engineering, analytics engineering or AI solution development.
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) certification is mandatory.
- Strong Microsoft Fabric experience across Lakehouse, pipelines, notebooks and OneLake.
- Proficiency in Python, PySpark and advanced SQL for data processing and transformation.
- Experience with semantic modeling, DAX, dimensional modeling and performance optimization.
- Knowledge of agentic AI frameworks, Retrieval-Augmented Generation 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, plus Git, REST APIs, security fundamentals and production deployment practices.
- Preferred qualifications include DP-203, AI-102 or PL-300 certifications; experience with AI-enabled web applications, Azure AI services, Azure OpenAI, production RAG or agentic AI, Delta Lake, Direct Lake, real-time analytics, deployment pipelines and DevOps automation.
- Ability to translate business problems into scalable data and AI solutions, communicate clearly, collaborate effectively and maintain practical documentation.
Categories
AI ApplicationsData Engineering
About Ecolab Inc.
Ecolab Inc. builds and sells water treatment chemicals and equipment, hygiene and infection-prevention products, and on-site service and digital monitoring for industrial and institutional customers. A NYSE-listed public company founded in 1923 and headquartered in St. Paul, Minnesota, it serves food, healthcare, life sciences, hospitality, manufacturing, and energy markets worldwide; its portfolio includes Nalco Water and, in data centers, CoolIT liquid-cooling solutions.