Description

Design and implement data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Data Factory, and Power BI.

This role is on-site.

Responsibilities

• Build and manage data pipelines for ingestion, transformation, and orchestration within Fabric.
• Develop and optimize SQL queries and data models, leveraging Notebooks (PySpark/Python) and Dataflows Gen2.
• Integrate data from multiple sources including APIs, databases, files, and streaming into Azure Subscription services like Azure Data Lake, Azure SQL, and Azure Synapse.
• Ensure data quality, governance, and security using Fabric capabilities and access control mechanisms.
• Monitor and troubleshoot pipeline performance issues while collaborating with business and analytics teams to deliver reporting solutions.

Required Skills

• 5+ years of experience with Microsoft Fabric architecture (Lakehouse, Warehouse, Data Factory).
• Proficiency in Python and PySpark for data transformation using Notebooks.
• Strong SQL skills for query optimization and data modeling.
• Experience with Power BI for reporting and visualization.
• Knowledge of CI/CD practices using Azure DevOps.
• Understanding of Delta Lake and Lakehouse architecture.
• Familiarity with real-time and streaming pipelines.

Preferred Skills

• Experience with Azure Data Lake, Azure SQL, and Azure Synapse components within the Fabric ecosystem.
• Deep knowledge of data governance, security, and access control policies.

Key Skills

Education

Bachelor's degree