Sr. Data & BI Engineer
Job Summary
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.
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.
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
Required Skills:
Microsoft Power BI DAX SQL Power Query Data Modeling ETL/ELT Azure Data Factory Microsoft Fabric Data Warehousing Lakehouse SQL Server/Azure SQL Python Spark/PySpark Delta Lake Git Power BI Service
Required Education:
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.