Sr. Power BI Developer

ScaleupAlly

Dadri

Presencial

INR 1 400 000 - 2 400 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Medical Insurance
Quarterly events
Regular growth check-ins

Resumo da oferta

ScaleupAlly is seeking a Senior Power BI Developer with strong expertise in Power BI, SQL, DAX, data modeling, and BI, plus data engineering knowledge. You will build end-to-end BI solutions, including data transformation, modeling, dashboard development, and performance optimization, collaborating with data engineers and business stakeholders.

The role involves ETL/ELT pipelines, scalable architectures, and working across SQL Server, Azure SQL, Snowflake, Azure Synapse, and Lakehouse

Qualificações

  • Bachelor's degree in any discipline / Information Systems, or a related field.
  • 4–6 years of hands-on experience in Power BI development, SQL, DAX, and data modeling.

Responsabilidades

  • 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.
  • 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.

Conhecimentos

Power BI
SQL
DAX
Data Modeling
ETL/ELT
Azure Data Factory
Microsoft Fabric
Data Warehousing
Lakehouse
Python
Spark/PySpark
Git
Power BI Service

Formação académica

Bachelor's degree

Ferramentas

Snowflake
Azure Synapse Analytics
dbt
Airflow
CI/CD
Azure DevOps
Microsoft Fabric end-to-end

Descrição da oferta de emprego

At ScaleupAlly, we believe that technology improves all aspects of lives. That is why we are geared towards becoming a tech ally of great ideas. The aim is to be the remote in-house tech team of these ideas. We work with Start-ups, Founders, and Leaders around the globe with ideas of Web and App Development, Business Intelligence and Data Visualization. We achieve our aim by building the long-lasting dynamic teams made of the top talent across the globe managed by experienced in-house Technical Leads. At ScaleupAlly, we build, manage and care our distributed teams like no one else. It’s a whole new approach to make you rethink what your idea is capable of.

Job Description
Purpose of Job

ScaleupAlly is looking for a Senior Power BI Developer with strong expertise in Power BI, SQL, DAX, data modeling, and BI , along with a solid understanding of data engineering and modern data platforms.

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.

Required Qualifications

Bachelor's degree in any discipline / Information Systems, or a related field.

4–6 years of hands-on experience in Power BI development, SQL, DAX, and data modeling.

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
Duties
  • 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.
  • 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

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

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

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