Senior Business Intelligence Developer

Duration :12+Months Must Have Skills - Power BI, Denodo, Microsoft Fabric Semantic Models • Job Responsibilities • • Lead development, optimization, and lifecycle management of semantic models within Microsoft Fabric. • • Design and build scalable, enterprise-level analytical solutions using Power BI and Denodo as core data integration platforms. • • Collaborate with stakeholders to gather requirements, translate business needs into robust semantic models, and ensure business-friendly terminology and metrics. • • Integrate disparate data sources (including virtualized data via Denodo and data lakes/warehouses in Fabric) using best practices in data modeling, DAX, and SQL. • • Develop, maintain, and optimize Power BI reports, dashboards, and complex DAX calculations to drive data-based decision-making. • • Implement row-level and object-level security in Power BI semantic models for robust enterprise data governance. • • Manage lifecycle of Fabric semantic models – including versioning, upgrades, and migrations as Microsoft evolves the semantic model framework. • • Guide enterprise reporting architecture, mentor junior BI developers, and champion the adoption of advanced analytics technologies across data-driven initiatives. • \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ • Required Skills and Experience • 10–12 years of hands-on experience in enterprise BI/reporting environments. • Proven expertise in Power BI development, advanced DAX, Power Query, and semantic modeling. • Extensive experience integrating and virtualizing data sources using the Denodo platform, including creation of logical and physical data layers. • Deep understanding of the Microsoft Fabric analytics environment with experience in developing and optimizing semantic models, star schema design, and performance tuning. • Strong proficiency in SQL across Power BI, Denodo, and Fabric contexts. • Demonstrated ability to design secure, scalable BI solutions for large and complex datasets (financial or operational domains preferred). • Familiarity with application lifecycle management (ALM) and CI/CD for Power BI assets. • Excellent communication, leadership, and stakeholder management skills. • Experience using Python for BI or data engineering tasks. • Exposure to tools such as Amazon Redshift, Spotfire, or other advanced visualization platforms. • Certifications: Microsoft Fabric Analytics Engineer or equivalent