Description

Design and develop business intelligence dashboards, analytical reports, and data visualizations to provide actionable insights.

This role is hybrid.

Responsibilities

• Architect and develop Power BI solutions, configuring data security, managing licenses, and sharing reports across user groups.
• Create complex measures using DAX expressions and utilize Power Pivot, Power View, and Power Map for data visualization.
• Build and manage ETL processes between homogeneous and heterogeneous systems using Azure Data Factory.
• Develop tabular and multidimensional SSAS cubes, including aggregations, KPIs, and partitioning.
• Implement data engineering workflows using Databricks notebooks to move data from raw to curated zones.

Required Skills

• 5+ years of experience in Business Intelligence and Data Engineering.
• Expertise in Power BI, DAX, Power Query (M), and XMLA.
• Hands-on experience with Azure Data Factory (ADF), Azure Databricks, and Azure Analysis Services (SSAS).
• Proficiency in Azure SQL Server, Azure SQL Database, and MongoDB.
• Experience with Azure Data Lake Analytics, Azure Data Lake Store (ADLS), and Azure Event Hubs.
• Strong knowledge of SSRS, SSIS, and MDX scripting.
• Experience with Databricks lakehouse, DBT, and U-SQL jobs.
• Understanding of data warehouse development using normalization and de-normalization techniques.
• Ability to use Dynamics 365 for reporting purposes.

Preferred Skills

• Experience with Power Apps and Azure Stream Analytics.
• Knowledge of Azure Automation Runbooks for scheduling cubes.

Key Skills

Education

Any Graduate