Design, develop, and maintain Azure Analysis Service and Power BI solutions. Collaborate with cross-functional teams to gather and analyze business requirements. Implement data modeling, ETL processes, and data visualization using Azure-based tools and technologies. Optimize and enhance existing data pipelines and reporting dashboards for performance and scalability. Troubleshoot and resolve data-related issues, providing technical guidance to stakeholders. Stay updated on the latest Azure and Power BI developments and best practices. Requirements: Proven experience as a Data Engineer with a focus on Azure Analysis Service and Power BI. Proficiency in SQL, Data Modeling, ETL, and data visualization. Strong understanding of Azure Data Factory, Azure SQL Database, and other Azure data services. Experience with DAX, M, and Power Query for data manipulation and transformation. Excellent problem-solving skills and the ability to work in a fast-paced environment. Microsoft Azure certifications (e.g., DP-200, DP-201) are a plus. Total relevant experience in BI/Data Engineering should be 3-5 years. Strong knowledge of Azure Databricks, Azure Data Lake, and Azure Analysis Services. Experience with Power BI, including: Strong Data Modeling skills. Expertise in Tabular Model design. Expertise in writing complex DAX formulas. Hands-on experience in DAX optimization. Strong knowledge of DWBI with SQL. Experience with On-premise/cloud BI solution implementation. Power Automate (Good to have).