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Description:
Develop and manage data solutions using Microsoft Azure technologies.
Create insightful business intelligence reports.
Ensure data accessibility and integrity.
Implement best practices in data engineering.
Utilize Power BI for data modeling and data warehouse modeling.
Work on fact and dimension tables creation and management.
Perform data transformation using Power Query, DAX, and calculated measures.
Design and implement data architectures using medallion architecture and snowflake schemas.
Use Microsoft Azure Data Explorer (ADX) for data ingestion and transformation.
Implement Lakehouse using Spark in Microsoft Fabric.
Requirements:
Experience in data engineering with Microsoft Azure technologies.
Knowledge of serverless and/or containerized architectures.
Strong skills in Power BI, data modeling, and data warehouse modeling.
Proficiency in Power Query, DAX, and calculated measures.
Ability to create complex reporting visualizations.
Familiarity with medallion architecture and snowflake schemas.
Working knowledge of Microsoft Azure Data Explorer (ADX).
Expertise in Microsoft Fabric and Lakehouse implementations.
Nice to have: experience with CI/CD pipelines, Azure DevOps, cloud-native applications, C#, and .NET.