Responsibilities           Data Ingestion and Transformation: Design and implement data pipelines to extract, transform, and load (ETL) 
data from various internal business applications into Microsoft Fabric
following a medallion framework.Ensure data quality, consistency, and accuracy throughout the ingestion 
process.Prepare data for more advanced use cases, like AI and application 
integration.Data Modeling and Analysis:
Create data models and schemas that effectively represent the underlying 
business processes and data relationships. Create semantic models for different use cases to optimize data access 
and performance.Data Visualization and Reporting:Collaborate with business stakeholders to understand their reporting 
needs and support them in creating interactive dashboards and 
visualizations using Microsoft Power BI.Develop self-service reporting capabilities to empower users to explore 
data independently. Data Governance and Stewardship: Establish and maintain data governance policies and standards to ensure 
data quality, security, and compliance.Promote data literacy and awareness within the organization.

Qualifications Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.Strong proficiency in Python and SQL.Knowledge of data warehousing and data modeling concepts.Excellent problem-solving and analytical skills.Strong communication and interpersonal skills.Ability to work independently and as part of a team. 

 Preferred QualificationsMaster's degree in Data Science or a related field.Experience with Microsoft Fabric (specifically Data Factory, Synapse Engineering, 
and Power BI).Experience with cloud-based data platforms (e.g., Azure, AWS, GCP).Certifications in Microsoft Certified: Fabric Analytics Engineer Associate, Microsoft 
Azure Data Engineering or Microsoft Certified: Azure Data Scientist Associate.

If you are passionate about data analytics/data science, have a strong understanding of the Microsoft Fabric tool set, and are eager to make a significant impact on our organization, we encourage you to apply