Enter a job title or keyword

Sr. Data & BI Engineer

ScaleupAlly


Job Location:

Noida - India

Salary: Not provided by the employer
Experience Required: 3-6years
Posted: 24 August 2026 (8 days ago)
Application Deadline: 21 November 2026
Vacancies: 1 Vacancy

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.



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.



Benefits
  • 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.