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 are incorporated.
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 enable deep analysis and data-driven decisions.
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 migration as Microsoft changes default semantic model behavior.
Guide enterprise reporting architecture, mentor junior BI developers, and champion adoption of advanced analytics technologies in data-driven projects.
Required Skills and Experience
10-12 years of hands-on experience in enterprise BI / reporting – with 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 Microsoft Fabric analytics environment and hands-on experience developing semantic models, including star schema design, table relationships, and performance tuning.
Strong proficiency in SQL (Power BI, Denodo, and Microsoft Fabric contexts).
Proven track record designing secure, scalable BI solutions for large / complex data, including financial and operational domains.
Familiarity with application lifecycle management, including CI / CD for Power BI assets.
Excellent communication, team leadership, and stakeholder management skills.
Nice to Have
Experience with Python for BI / data engineering tasks.
Exposure to additional tools such as Redshift, Spotfire, or other advanced visualization platforms.
Certifications : Microsoft Fabric Analytics Engineer or similar.
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Data Visualization Engineer • Republic Of India, IN
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