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Description:
Design and implement data solutions on the Azure platform.
Develop and maintain business intelligence (BI) solutions.
Build cloud-native SaaS solutions using Microsoft Azure technologies.
Ensure data integrity, consistency, and accessibility across various data layers.
Focus on data modeling and data warehouse modeling using Power BI.
Utilize Power Query, DAX, and calculated measures for data transformation.
Create complex and insightful reporting visualizations.
Design data architectures using medallion architecture and snowflake schemas.
Work with Microsoft Azure Data Explorer (ADX) for data ingestion and transformation.
Implement CI/CD pipelines for data artifacts.
Familiarity with Azure DevOps (ADO) and modern software best practices.
Write high-quality code with unit testing, mocking, automation, and integration testing.
Build cloud-native applications on Azure or AWS using PaaS services.
Produce and document designs and specifications for new features and services.
Experience in C# and .NET is a plus.
Strong communication and collaboration skills.
Requirements:
Proven experience in data engineering and development.
Solid background in building cloud-native SaaS solutions on Azure.
Strong experience in Power BI, data modeling, and data warehouse modeling.
Advanced skills in Power Query, DAX, and calculated measures.
Ability to create complex reporting visualizations.
Experience with medallion architecture and snowflake schemas.
Knowledge of Microsoft Azure Data Explorer (ADX) and Microsoft Fabric.
Expertise in CI/CD pipelines for data artifacts.
Familiarity with Azure DevOps (ADO) and modern software best practices.
Experience in writing high-quality code and unit testing.
Experience in building cloud-native applications on Azure or AWS.
Ability to produce and document designs and specifications.