Microsoft Fabric Data Engineer- AI
Summary
Mastech is hiring a Microsoft Fabric data engineer (5–8 yrs) in Chennai or Bengaluru to build governed, AI-ready enterprise data platforms: Fabric Lakehouse/Warehouse pipelines with Data Factory, SQL, Python/PySpark and Medallion architecture, integrating ERP/HCM and SaaS data for AI/RAG and agent use cases.
Interview Process-
What to Expect After Applying?
- Receive an automated bot call (UK Number +44) for the initial screening round.
- Attend and complete the bot interview.
- Upon successful completion, receive an interview link for the next round.
This helps us ensure a smooth and efficient screening process for all applicants.
Important Notes
- The bot call assessment is the first round of the interview process.
- Candidates must attend the bot call to progress further in the selection process.
- The interview link will be shared only after successful completion of the bot screening round.
- Please ensure your registered mobile number is active and reachable
Role & responsibilities
We are seeking an experienced Microsoft Fabric Data Engineer to design and develop scalable enterprise data solutions supporting our Autonomous Enterprise initiatives.
Key Responsibilities
- Design and develop solutions using Microsoft Fabric, OneLake, Fabric Lakehouse and Fabric Warehouse
- Build data pipelines using Fabric Data Factory, SQL, Python and PySpark
- Implement Bronze/Silver/Gold Medallion architecture
- Integrate ERP, HCM, Microsoft 365, SaaS platforms, databases and REST APIs
- Develop reusable and governed enterprise data products
- Prepare structured and unstructured data for AI, RAG, Copilot and autonomous AI agent use cases
- Implement data quality, reconciliation, lineage, observability and monitoring
- Implement security, access control and data governance
- Support CI/CD and engineering standards for Fabric solutions
- Collaborate with AI, application and enterprise architecture teams Required Skills
- Strong hands-on experience with Microsoft Fabric and OneLake, Fabric Lakehouse, Warehouse and Data Factory
- Advanced SQL
- Python / PySpark / Spark
- Delta Lake and data modelling
- Data pipelines and ETL/ELT
- REST APIs and enterprise integration
- Git and CI/CD • Data quality and governance concepts
Preferred Skills
- Microsoft Purview
- Power BI and semantic models
- Microsoft Azure
- ERP/HCM data integration
- AI/RAG data engineering
- Azure AI / Azure OpenAI
- Agentic AI or AI-agent architectures
The Opportunity This role goes beyond traditional ETL and reporting. You will help create an AI-ready, governed enterprise data platform that supports analytics, intelligent applications and autonomous business processes.