Role overview

Join the Fabric Center of Excellence to design and deliver up-to-date 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 deployment practices.

POSITION 02 | CONTINUED

Qualifications and certifications

- Bachelor’s degree in computer science, data engineering, artificial intelligence or a related discipline, or equivalent relevant experience.
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) is mandatory.
- Related certifications such as DP-203, AI-102 or PL-300 are preferred.
- 3-5 years of relevant experience in data engineering, analytics engineering or AI solution development.

Preferred experience

- Developing AI-enabled web applications, APIs or conversational analytics experiences.
- Azure AI services, Azure OpenAI or comparable enterprise LLM platforms.
- Production implementation of RAG or Agentic AI solutions with evaluation, observability and responsible AI controls.
- Databricks, Snowflake, Delta Lake and modern cloud data-platform integration.
- Direct Lake, real-time analytics, deployment pipelines and DevOps automation.

Behavioral competencies

- Strong engineering discipline and an experimentation mindset.
- Ability to translate business problems into scalable data and AI solutions.
- Clear communication, collaborative delivery and practical documentation.
- Commitment to security, governance, responsible AI and measurable business outcomes.

Success in this role

- Reusable and production-ready Fabric data products.
- Trusted semantic and ontology layers that improve analytics and AI quality.
- Secure, useful AI Agents and Data Agents aligned with business requirements.
- Faster delivery through automation, standards and shared engineering patterns.

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