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 setting.

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

- Strong hands-on experience with Microsoft Fabric.
- Deep understanding of Fabric architecture including:

- OneLake

- DirectLake

- Lakehouse

- Data Warehouse

- Semantic Models

- Experience working with

- Dataflows Gen2

- Pipelines

- Notebooks

- Fabric Workspaces
- Strong PySpark development experience.
- Strong SQL programming skills.
- Experience with Azure SQL Database.
- Knowledge of Delta Lake and Delta Tables.
- Experience with ETL/ELT development and data integration.
- Experience handling large-scale datasets and distributed data processing.
- Understanding of Fabric capacities, licensing, workload management, and scaling.
- Experience with metadata-driven ingestion and orchestration frameworks.

Preferred Skills

- Azure Data Lake Storage (ADLS).
- Azure Synapse Analytics.
- Azure Active Directory Integration.
- Banking or BFSI domain experience.
- Data Modeling and Data Warehousing concepts.
- Enterprise Analytics and Reporting platforms.

Desired Candidate Profile

- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder management skills.
- Ability to work independently and within Agile teams.
- Experience collaborating with architects and business users.
- Strong focus on performance, scalability, and reusable solution design.

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