We are looking for an experienced Azure Fabric Developer with strong expertise in Microsoft Fabric, OneLake, PySpark, SQL, and Data Engineering. The ideal candidate should have hands-on experience building scalable data solutions using Microsoft Fabric components including Lakehouse, DirectLake, Dataflows Gen2, Pipelines, Notebooks, and Semantic Models. The role involves designing and implementing enterprise-grade data integration, transformation, and analytics solutions within a Banking/BFSI environment.

Key Responsibilities
- Design, develop, and maintain data engineering solutions using Microsoft Fabric.
- Build and manage Fabric architecture components including OneLake, DirectLake, Lakehouse, Warehouse, and Semantic Models.
- Develop scalable data pipelines using Fabric Pipelines and Dataflows Gen2.
- Create and optimize PySpark notebooks and SQL-based transformations.
- Design and implement ETL/ELT data ingestion frameworks.
- Build metadata-driven data orchestration solutions.
- Manage and optimize large-scale data processing workloads.




- Configure and manage Fabric Spark environments, capacity planning, scaling, and workload optimization.
- Implement Delta Lake and Delta Table architectures for high-performance data processing.
- Integrate data from multiple sources including Azure SQL, Azure Data Lake, Blob Storage, Dynamics 365, Salesforce, and enterprise applications.
- Configure pipeline scheduling, triggers, dependencies, monitoring, and alerting.
- Work closely with Data Architects, Business Teams, and Technology Stakeholders to deliver enterprise data solutions.
- Ensure security integration using Azure Active Directory and enterprise governance standards.
- Support data quality, performance tuning, and operational excellence initiatives.

Required Skills
- Robust hands-on experience with Microsoft Fabric.
- Deep understanding of Fabric architecture including:
- OneLake
- DirectLake
- Lakehouse
- Data Warehouse
- Semantic Models
- Experience working

📌 Azure Fabric Developer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad