Job description

Microsoft Fabric Data Specialist Location: Princeton, NJ. REMOTE Role Description: The MS Fabric Data Specialist is responsible for consolidating datasets, building dataflows, and running Python notebooks in Microsoft Fabric to generate new semantic models.This role requires a deep understanding of MS Fabric, data integration, and data modeling techniques to support the organization's data-driven decision-making processes. Key Responsibilities: • Dataset Consolidation: Integrate and consolidate datasets from various sources within MS Fabric to ensure data consistency and accuracy. • Dataflow Development: Design, build, and maintain dataflows in MS Fabric to automate data processing and transformation tasks. • Python Notebooks: Utilize Python notebooks within MS Fabric to perform data analysis, create visualizations, and develop new semantic models. • Semantic Modeling: Generate and maintain semantic models to support business intelligence and analytics initiatives. • Collaboration: Work closely with data engineers, data scientists, and business analysts to understand data requirements and deliver solutions that meet business needs. • Documentation: Document dataflows, processes, and models to ensure knowledge sharing and maintainability. • Performance Optimization: Monitor and optimize the performance of dataflows and models to ensure efficient data processing. Required Skills and Qualifications: • Proficiency in MS Fabric: Extensive experience working with Microsoft Fabric, including dataset consolidation, dataflow development, and Python notebooks. • Data Integration: Strong understanding of data integration techniques and best practices. • Python Programming: Proficiency in Python for data analysis, scripting, and automation. • Data Modeling: Experience in creating and maintaining semantic models for business intelligence and analytics. • Analytical Skills: Strong analytical and problem-solving skills to identify and resolve data-related issues. • Collaboration: Excellent communication and collaboration skills to work effectively with cross-functional teams. • Documentation: Ability to document processes, dataflows, and models clearly and concisely. Preferred Qualifications: • Experience with BI Tools: Familiarity with business intelligence tools such as Power BI, Tableau, or similar. • Cloud Platforms: Experience working with cloud platforms such as Azure, AWS, or Google Cloud. • SQL: Proficiency in SQL for querying and managing relational databases. • Data Governance: Understanding of data governance principles and practices.

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