Senior Software Engineer-Power BI Embedded

Job Description – Senior Software Engineer – Power BI Embedded

Position: Senior Software Engineer – Power BI Embedded

Experience: 3–4 Years (Relevant experience in Power BI Embedded)

Location: Remote / Bangalore (Preferred)

Employment Type: Full-Time

About The Role

We are looking for a highly skilled Senior Software Engineer – Power BI Embedded to design, develop, and maintain interactive analytics and reporting solutions for our multi-tenant SaaS platform. The ideal candidate should have strong expertise in Power BI Embedded , MySQL , MongoDB , API integrations, and data modeling. You will work closely with product managers, backend engineers, and UI developers to deliver scalable, secure, and high-performance embedded analytics.

Key Responsibilities

• Design, develop, and maintain Power BI Embedded reports and dashboards for a SaaS application.
• Integrate Power BI Embedded using REST APIs, Embedded Tokens, Service Principals, and Azure Active Directory.
• Develop interactive dashboards, KPIs, drill-through reports, and custom visualizations.
• Design and optimize data models for reporting using MySQL and MongoDB.
• Create efficient SQL queries, stored procedures, and aggregation logic for large datasets.
• Build data connectors and integrate data from multiple internal and external sources.
• Develop ETL/data transformation processes where required.
• Optimize report performance for large-scale multi-tenant environments.
• Implement Row-Level Security (RLS) and tenant-based data isolation.
• Work closely with backend teams to expose APIs for reporting and analytics.
• Collaborate with frontend developers to seamlessly integrate reports into the web application.
• Troubleshoot performance bottlenecks in reports, datasets, and databases.
• Maintain documentation for reports, datasets, and embedded analytics architecture.
• Ensure security, scalability, and best practices for embedded analytics.
  
  

Required Skills

Power BI

• 3–4 years of hands-on experience with Power BI Embedded.
• Strong experience with:
• Power BI Service
• Power BI Desktop
• Power BI Embedded
• Power BI REST APIs
• Workspace Management
• Embedded Tokens
• Azure AD Authentication
• Service Principals
• Data Gateways
• Strong knowledge of DAX, Power Query (M Language), and data modeling.
• Experience implementing Row-Level Security (RLS).
  
  

Database Skills

• Strong knowledge of MySQL
• Query optimization
• Joins
• Stored Procedures
• Views
• Performance tuning
• Strong knowledge of MongoDB
• Aggregation Pipeline
• Indexing
• Query optimization
• Schema design
  
  

Reporting & Analytics

• Dashboard design and visualization best practices.
• KPI creation and business analytics.
• Report optimization.
• Data modeling.
• Multi-tenant reporting architecture.
• Real-time and near real-time dashboards.
• Report performance tuning.
  
  

Integration Skills

• REST APIs
• JSON
• OAuth
• Azure Active Directory
• Azure Services (preferred)
• API-based data connectors
• SaaS platform integrations
  
  

Programming Skills (Preferred)

• JavaScript / TypeScript
• Node.js
• C# (.NET) (preferred)
• HTML/CSS
• Azure Functions (preferred)
  
  

Preferred Qualifications

• Experience working in a multi-tenant SaaS platform.
• Experience embedding reports into React or Angular applications.
• Knowledge of Azure cloud services.
• Experience with Azure SQL, Azure Storage, or Azure Synapse is a plus.
• Understanding of CI/CD pipelines for Power BI deployments.
• Experience with Git version control.
• Familiarity with Agile/Scrum methodologies.
  
  

Educational Qualification

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  
  

Nice to Have

• Microsoft Power BI Certification.
• Azure Certification.
• Experience with data warehousing concepts.
• Knowledge of Microsoft Fabric.
• Experience with large enterprise reporting systems.
• Understanding of AI-powered analytics and Copilot features in Power BI.
  
  

What We Offer

• Opportunity to work on a cutting-edge AI-powered SaaS platform.
• Exposure to enterprise-scale analytics and embedded reporting.
• Flexible work environment.
• Collaborative engineering culture.
• Career growth opportunities.
• Competitive compensation and benefits.