Senior Data Engineer (PySpark & Microsoft Fabric)

Key Responsibilities

• Design, build, and maintain scalable data pipelines that extract, transform, and load data from multiple sources into centralized platforms such as data warehouses, lakehouses, and operational databases.
• Develop and manage end-to-end data workflows using Microsoft Fabric, including integration with Azure Data Factory and related Azure data services.
• Implement physical and logical data models that support efficient storage, performance, and analytical use cases, while maintaining data integrity and reliability.
• Transform raw and semi-structured data into analytics-ready datasets through cleansing, standardization, and deduplication processes.
• Integrate data from disparate systems and ensure consistency, accuracy, and quality across the data pipeline.
• Optimize database and pipeline performance through tuning, monitoring, and proactive issue resolution.
• Collaborate with analytics, report...