Sr. Power BI Developer

The role involves building end-to-end BI solutions including data transformation modeling dashboard development and performance optimization. The candidate should understand ETL/ELT data pipelines and scalable data architectures and work closely with data engineers and business stakeholders.

• Bachelors degree in any discipline / Information Systems or a related field.
  

• 46 years of hands-on experience in Power BI development SQL DAX and data modeling.
  

• Develop and maintain advanced Power BI dashboards and reports using DAX Power Query data modeling RLS and Power BI Service.
  

• Design and manage end-to-end ETL/ELT data pipelines using Azure Data Factory and Microsoft Fabric.
  

• Write and optimize complex SQL queries for data extraction transformation and analytics.
  

• Design scalable data models including Star Schema fact and dimension tables.
  

• Work with SQL Server Azure SQL Snowflake Azure Synapse and Lakehouse environments.
  

• Use Python Spark/PySpark and Delta Lake for data processing and automation.
  

• Integrate data from databases APIs files and transactional systems while ensuring data quality.
  

• Optimize Power BI reports DAX SQL data models pipelines and refresh performance.
  

• Troubleshoot end-to-end data flow from source systems pipelines warehouse/lakehouse Power BI.
  

• Collaborate with Data Engineers Business Analysts and stakeholders to deliver scalable BI solutions.
  

• Perform data reconciliation root-cause analysis and issue resolution.
  

• Follow Git/version-control practices and contribute to technical standards and documentation.
  

• Mentor junior team members and support technical decision-making.
  

• Take ownership of BI and data engineering solutions from development through deployment and optimization.
  

Preferred Qualifications

• Experience with Snowflake Azure Synapse Analytics dbt or Airflow.
  

• Experience with CI/CD and Azure DevOps for BI/data solutions.
  

• Experience working in Microsoft Fabric end-to-end environments.
  

• Exposure to data governance data security and enterprise BI architecture.
  

• Experience working with APIs and cloud-based data sources.
  

• Experience in designing or contributing to enterprise-scale BI/data architectures.
  

• Experience working with globally distributed teams or international stakeholders
  

Benefits and Additional Information

• Working hours: 10:00 AM 7:00 PM
  

• Working days: 5 days a week (plus 1st & 3rd Saturdays working)
  

• Medical Insurance coverage for employees
  

• Provident Fund (PF) facility
  

• Quarterly parties and yearly outings/trips for team bonding
  

• Regular check-ins with leadership for growth and feedback
  

• Recognition awards to celebrate high performance
  

• Fun activities and team engagement sessions throughout the year