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Python
SQL
Spark
PySpark
Power BI

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1. Power BI & Microsoft Fabric Architecture • Architect enterprise-grade reporting solutions using Microsoft Fabric Direct Lake mode and Medallion Architecture • Eliminate data latency through optimized data layer design and pipeline architecture • Optimize complex DAX queries and SQL queries to improve report rendering performance significantly • Design and implement scalable semantic data models that accelerate team report development • Ensure all reporting architecture is aligned with enterprise governance and performance standards 2. Advanced Report Development & AI Integration • Design interactive, user-centric Power BI reports tailored to business stakeholders — translating complex requirements into intuitive UI designs • Train and deploy custom Fabric AI Agents to enable ad-hoc data queries within reports • Enable self-service analytics capabilities that reduce dependency on support teams • Integrate AI-powered features within the reporting layer to enhance business decision-making 3. Governance & CI/CD • Spearhead collaborative development using Power BI Projects (.PBIP) and Git Integration for version control and conflict resolution • Orchestrate deployments across Dev / QA / UAT / Prod environments using Fabric Deployment Pipelines and ALM Toolkit • Manage semantic model metadata and diffs across deployment stages • Enforce enterprise governance via Row-Level Security (RLS), Object Level Security (OLS), and Dataset Endorsement (Certified / Promoted) 4. Automation & Data Engineering • Automate QA processes using Python (SemPy) in Fabric Notebooks to validate data lineage and quality • Integrate Power Automate to trigger real-time alerts based on semantic model thresholds • Proactively notify users and stakeholders of critical data anomalies • Develop PySpark and Spark SQL notebooks within Microsoft Fabric for scalable data transformations • Optimise data models for seamless and performant reporting Requirements Microsoft Fabric Medallion Architecture Data Modelling Data Governance Python Data Modelling AI Integration Location Mumbai(5 days Work From Office) Experience Range Minimum 5+ years Educational Qualification (Mandatory) B. Tech / B.E / MCA Benefits Why Join Us? Work on impactful AI-based products used across industries. Opportunity to work with cutting-edge LLM tech & chatbot pipelines. A flexible and dynamic work culture with room for learning and innovation. Competitive salary and performance-driven growth. Please follow the below given link to know more about the organization: www.navsoft.ai Interested candidates can share your resumes to alokbarna@navsoft.in

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1. Power BI & Microsoft Fabric Architecture • Architect enterprise-grade reporting solutions using Microsoft Fabric Direct Lake mode and Medallion Architecture • Eliminate data latency through optimized data layer design and pipeline architecture • Optimize complex DAX queries and SQL queries to improve report rendering performance significantly • Design and implement scalable semantic data models that accelerate team report development • Ensure all reporting architecture is aligned with enterprise governance and performance standards 2. Advanced Report Development & AI Integration • Design interactive, user-centric Power BI reports tailored to business stakeholders — translating complex requirements into intuitive UI designs • Train and deploy custom Fabric AI Agents to enable ad-hoc data queries within reports • Enable self-service analytics capabilities that reduce dependency on support teams • Integrate AI-powered features within the reporting layer to enhance business decision-making 3. Governance & CI/CD • Spearhead collaborative development using Power BI Projects (.PBIP) and Git Integration for version control and conflict resolution • Orchestrate deployments across Dev / QA / UAT / Prod environments using Fabric Deployment Pipelines and ALM Toolkit • Manage semantic model metadata and diffs across deployment stages • Enforce enterprise governance via Row-Level Security (RLS), Object Level Security (OLS), and Dataset Endorsement (Certified / Promoted) 4. Automation & Data Engineering • Automate QA processes using Python (SemPy) in Fabric Notebooks to validate data lineage and quality • Integrate Power Automate to trigger real-time alerts based on semantic model thresholds • Proactively notify users and stakeholders of critical data anomalies • Develop PySpark and Spark SQL notebooks within Microsoft Fabric for scalable data transformations • Optimise data models for seamless and performant reporting Requirements Microsoft Fabric Medallion Architecture Data Modelling Data Governance Python Data Modelling AI Integration Location Mumbai(5 days Work From Office) Experience Range Minimum 5+ years Educational Qualification (Mandatory) B. Tech / B.E / MCA Benefits Why Join Us? Work on impactful AI-based products used across industries. Opportunity to work with cutting-edge LLM tech & chatbot pipelines. A flexible and dynamic work culture with room for learning and innovation. Competitive salary and performance-driven growth. Please follow the below given link to know more about the organization: www.navsoft.ai Interested candidates can share your resumes to alokbarna@navsoft.in