Senior BI Engineer

Job Summary The Senior Power BI Engineer will play a pivotal role in designing, developing, and maintaining business intelligence solutions using the Microsoft BI stack. This role involves collaborating with cross-functional teams to gather requirements, design data models, and implement scalable BI solutions that drive data-driven decisions and support business objectives. Key Responsibilities Architect, design, and develop end-to-end business intelligence solutions using Microsoft BI stack. Define data models, metrics, and KPIs for reporting and analytics. Design and optimize scalable multidimensional and tabular data models using SSAS for interactive analytics and reporting. Develop intuitive and interactive Power BI reports and dashboards, utilizing DAX, Power Query, and SQL for data modeling and presentation. Manage project timelines, priorities, and deliverables. Collaborate cross-departmentally to complete projects and gather requirements. Provide best practices guidance and training for BI initiatives within the organization. Mentor junior team members on BI development best practices. Monitor and manage Power BI service capacities to ensure optimal performance. Troubleshoot, debug, and fine-tune BI solutions (e.g., reports, cubes, semantic models) for reliability and efficiency. Define BI framework models, semantic layers, and metadata repositories for data governance. Document data warehouse and metadata contents and handle escalation for Power BI-related issues. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field 5-7 years of experience designing and developing business intelligence solutions using Microsoft BI stack Proficiency in SQL, SSAS/AAS tabular modeling, DAX, Power BI, Power BI Gateway, and Power BI Services Experience working with Azure-based BI solutions, including Azure SQL, Synapse, Data Factory, Blob Storages, and Data Lakes Strong hands-on experience with ETL development, data integration, and an in-depth understanding of multidimensional and tabular data modeling using SSAS Excellent communication, problem-solving, and analytical skills, with strong collaboration abilities Preferred Qualifications Relevant certifications, such as Microsoft Certified Data Analyst Associate, Azure Data Engineer Associate, or Power BI certifications Experience with PowerShell, Git for version control and deployment Familiarity with Microsoft Fabric, Python coding, Databricks, and Snowflake Certifications Microsoft Certified Data Analyst Associate, Microsoft Certified Azure Data Engineer Associate, Microsoft Certified Power BI Education: Bachelors Degree Certification: Microsoft Certified Data Analyst Associate , Azure Data Engineer Associate , Power BI