Description

You will design, implement, and maintain semantic models and data transformation workflows to drive business analytics.

Responsibilities

• Design and maintain scalable Power BI semantic models using star schema design.
• Develop and optimize complex DAX queries, including measures, calculated columns, and tables.
• Build and manage ETL pipelines and data processing workflows using Databricks Lakehouse and Azure Databricks.
• Implement modular and reusable data transformation models using DBT.
• Configure advanced Power BI features such as row-level security, incremental refreshes, and Power Query transformations.

Required Skills

• 5+ years of experience in data modelling and analytics engineering.
• Expertise in Power BI semantic model development and DAX (Data Analysis Expressions).
• Proficiency in SQL query development and optimization.
• Hands-on experience with Databricks Lakehouse and Azure Databricks.
• Experience implementing data transformations using DBT (Data Build Tool).
• Strong understanding of data warehousing concepts and ETL processes.
• Experience with star schema design and data visualization best practices.
• Ability to implement row-level security and incremental data refreshes.

Preferred Skills

• Experience integrating APIs to extend Power BI functionality.
• Experience developing analytical solutions using AI capabilities, predictive analytics, or machine learning models within Power BI.

Key Skills

Education

Any Graduate