Job Description

Job 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.

Skills:

• Python-based AI models within the Fabric environment
• Someone that knows the AI deployment use case
• Consolidate disparate datasets and build semantic models in Fabric and
• Can build data pipeline that can execute python notebooks(LLM or Ai predictive models) within Fabric.

Education/Experience:

• 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.
• 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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