Senior Power BI Developer with strong expertise in Power BI, SQL, DAX, data modeling, and BI, plus understanding of data engineering and modern data platforms.

About the Company

ScaleupAlly is a technology services company that believes technology improves all aspects of life. The company positions itself as the remote in-house tech team for startups, founders, and leaders globally, focusing on Web and App Development, Business Intelligence, and Data Visualization. ScaleupAlly builds and manages distributed teams led by experienced in-house technical leads, offering a unique approach to scaling ideas.

Role Overview

We are seeking a Senior Power BI Developer with strong expertise in Power BI, SQL, DAX, data modeling, and business intelligence, along with a solid understanding of data engineering and modern data platforms. This role requires building end-to-end BI solutions, including data transformation, modeling, dashboard development, and performance optimization. The ideal candidate should be comfortable working with ETL/ELT pipelines, scalable data architectures, and collaborating with data engineers and business stakeholders.

Key Responsibilities

• Develop and maintain advanced Power BI dashboards and reports using DAX, Power Query, data modeling, Row-Level Security (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 through pipelines to warehouse/lakehouse and 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.

Tech Stack

• Core BI Tools: Microsoft Power BI, DAX, Power Query, Power BI Service
• Data Modeling & Storage: Data Modeling (Star Schema), SQL Server, Azure SQL, Data Warehousing, Lakehouse, Delta Lake
• ETL/Data Pipelines: Azure Data Factory, Microsoft Fabric, ETL/ELT
• Programming & Scripting: SQL, Python, Spark/PySpark
• Version Control & DevOps: Git
• Preferred/Additional: Snowflake, Azure Synapse Analytics, dbt, Airflow, CI/CD with Azure DevOps, Microsoft Fabric end-to-end

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