Job Title: Microsoft Fabric/Python Location: 100% Remote Duration: 6+ Months (Contract) Position Overview We are seeking a skilled Microsoft Fabric & Python specializing in Data Engineering to design and build enterprise-grade data pipelines within the Microsoft Fabric SaaS ecosystem. This role is central to enabling unified data lakes, scalable data warehouses, and advanced analytics pipelines that power business intelligence and machine learning initiatives.

Key Responsibilities

Data Pipeline Development: Build and optimize enterprise data pipelines using Python within Microsoft Fabric (OneLake, Synapse Data Engineering, Synapse Data Science). Unified Data Architecture: Implement and manage Medallion architecture (Bronze/Silver/Gold layers) for structured, semi-structured, and unstructured data. Python & PySpark: Write efficient PySpark code in notebooks for ETL, data transformation, and orchestration of ML workflows. Data Manipulation: Utilize Pandas, NumPy, and other Python libraries for advanced data wrangling and analytics. Delta Lake Management: Design and maintain Delta Lake tables for scalable, reliable, and performant data storage. Integration & Reporting: Enable seamless integration with Power BI for enterprise reporting and visualization. Required Skills & Qualifications

• Strong expertise in Python (PySpark, Pandas, NumPy) for data engineering and analytics.
• Hands-on experience with Microsoft Fabric SaaS platform (OneLake, Synapse Data Engineering, Synapse Data Science).
• Deep understanding of Medallion architecture and Delta Lake.
• Proficiency in T-SQL and relational database concepts.
• Experience integrating data pipelines with Power BI dashboards and reports.
• Knowledge of Azure Data Factory for orchestration and workflow automation.
• Familiarity with enterprise-scale data lakes, data warehouses, and analytics pipelines.