Azure Fabric Developer

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

• 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.