MS Fabric Data Specialist
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.
Primary Responsibilities
ā¢ Dataset Consolidation: Integrate and consolidate datasets from various sources within MS Fabric to ensure data consistency and accuracy.
ā¢ Dataflow Development: Design, build, and maintain dataflows in MS Fabric to automate data processing and transformation tasks.
ā¢ Python Notebooks: Utilize Python notebooks within MS Fabric to perform data analysis, create visualizations, and develop new semantic models.
ā¢ Semantic Modeling: Generate and maintain semantic models to support business intelligence and analytics initiatives.
ā¢ Collaboration: Work closely with data engineers, data scientists, and business analysts to understand data requirements and deliver solutions that meet business needs.
ā¢ Documentation: Document dataflows, processes, and models to ensure knowledge sharing and maintainability.
ā¢ Performance Optimization: Monitor and optimize the performance of dataflows and models to ensure efficient data processing.
Required Qualifications
ā¢ Proficiency in MS Fabric: Extensive experience working with Microsoft Fabric, including dataset consolidation, dataflow development, and Python notebooks.
ā¢ Data Integration: Strong understanding of data integration techniques and best practices.
ā¢ Python Programming: Proficiency in Python for data analysis, scripting, and automation.
ā¢ Data Modeling: Experience in creating and maintaining semantic models for business intelligence and analytics.
ā¢ Analytical Skills: Strong analytical and problem-solving skills to identify and resolve data-related issues.
ā¢ Collaboration: Excellent communication and collaboration skills to work effectively with cross-functional teams.
ā¢ Documentation: Ability to document processes, dataflows, and models clearly and concisely.
Preferred Qualifications
ā¢ Experience with BI Tools: Familiarity with business intelligence tools such as Power BI, Tableau, or similar.
ā¢ Cloud Platforms: Experience working with cloud platforms such as Azure, AWS, or Google Cloud.
ā¢ SQL: Proficiency in SQL for querying and managing relational databases.
ā¢ Data Governance: Understanding of data governance principles and practices.
Education And Experience
ā¢ Bachelor's degree in Computer Science, Business Administration, Finance, or related fields.
ā¢ 5+ years experience in analytics, automation and ERP implementations.
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Primary Responsibilities
ā¢ Dataset Consolidation: Integrate and consolidate datasets from various sources within MS Fabric to ensure data consistency and accuracy.
ā¢ Dataflow Development: Design, build, and maintain dataflows in MS Fabric to automate data processing and transformation tasks.
ā¢ Python Notebooks: Utilize Python notebooks within MS Fabric to perform data analysis, create visualizations, and develop new semantic models.
ā¢ Semantic Modeling: Generate and maintain semantic models to support business intelligence and analytics initiatives.
ā¢ Collaboration: Work closely with data engineers, data scientists, and business analysts to understand data requirements and deliver solutions that meet business needs.
ā¢ Documentation: Document dataflows, processes, and models to ensure knowledge sharing and maintainability.
ā¢ Performance Optimization: Monitor and optimize the performance of dataflows and models to ensure efficient data processing.
Required Qualifications
ā¢ Proficiency in MS Fabric: Extensive experience working with Microsoft Fabric, including dataset consolidation, dataflow development, and Python notebooks.
ā¢ Data Integration: Strong understanding of data integration techniques and best practices.
ā¢ Python Programming: Proficiency in Python for data analysis, scripting, and automation.
ā¢ Data Modeling: Experience in creating and maintaining semantic models for business intelligence and analytics.
ā¢ Analytical Skills: Strong analytical and problem-solving skills to identify and resolve data-related issues.
ā¢ Collaboration: Excellent communication and collaboration skills to work effectively with cross-functional teams.
ā¢ Documentation: Ability to document processes, dataflows, and models clearly and concisely.
Preferred Qualifications
ā¢ Experience with BI Tools: Familiarity with business intelligence tools such as Power BI, Tableau, or similar.
ā¢ Cloud Platforms: Experience working with cloud platforms such as Azure, AWS, or Google Cloud.
ā¢ SQL: Proficiency in SQL for querying and managing relational databases.
ā¢ Data Governance: Understanding of data governance principles and practices.
Education And Experience
ā¢ Bachelor's degree in Computer Science, Business Administration, Finance, or related fields.
ā¢ 5+ years experience in analytics, automation and ERP implementations.
Apply Now
Apply Now