Data Engineer

Key Responsibilities: * Design and develop end-to-end data solutions using Microsoft Fabric components (Data Factory, Synapse Data Engineering, Data Warehouse, Real-Time Analytics). * Build scalable and efficient ETL/ELT pipelines for structured and unstructured data. * Develop and maintain data models, lakehouses, and warehouses. * Integrate data from multiple sources including APIs, databases, and cloud platforms. * Optimize data processing performance and ensure data quality and reliability. * Implement data governance, security, and compliance best practices. * Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions. * Monitor, troubleshoot, and enhance existing data workflows. * Automate workflows and deployments using CI/CD pipelines. Required Skills & Qualifications: * 10+ years of experience in data engineering or related roles. * Strong hands-on experience with Microsoft Fabric. Expertise in: * Azure Data Services (Azure Data Factory, Azure Synapse, ADLS) * SQL and data modeling techniques * PySpark for data processing * Experience with Spark and distributed data processing frameworks. * Knowledge of data warehousing concepts and architectures. * Familiarity with real-time data streaming technologies. * Experience with Power BI integration is a plus. * Strong problem-solving and analytical skills.