Description

You will own the end-to-end design and maintenance of analytical data solutions.

Responsibilities

• Design and implement data pipelines using Azure Data Factory.
• Develop and optimize Gen2 Dataflows for data transformation and ingestion.
• Integrate data from disparate sources into Azure Data Lake and Synapse.
• Build and maintain SSAS Tabular Cubes for advanced reporting.
• Develop semantic models and interactive dashboards within Power BI and Microsoft Fabric.
• Monitor ETL workflows, cube processing, and query performance, troubleshooting issues as they arise.

Required Skills

• 5+ years of hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
• Proficiency in SSAS Tabular Models and DAX.
• Experience with Microsoft Fabric and Gen2 Dataflows.
• Solid understanding of data warehousing concepts, star/snowflake schemas, and data modeling.
• Strong SQL skills, including performance tuning.
• Knowledge of Power BI development and deployment.
• Familiarity with CI/CD pipelines for BI solutions.
• Experience with ETL processes.

Preferred Skills

• Microsoft certifications in Azure Data Engineer, Power BI, or Fabric.
• Experience in large-scale enterprise BI environments.

Key Skills

Education

Bachelor's degree