- 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.

Requirements

- 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.

Advantages

- 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

📌 Sr. Data & BI Engineer (Noida)
🏢 Scaleupally
📍 Noida