Power BI Developer (Contract)

Accountabilities

• BI Platform Migration: Migrate, rebuild, and redesign existing Domo dashboards, reports, datasets, calculations, and business logic within Microsoft Power BI and Microsoft Fabric, ensuring continuity and improved functionality.

• Power BI Development: Design, develop, and maintain interactive dashboards, reports, and reusable semantic models that support business intelligence and data-driven decision-making.

• Data Modeling and Architecture: Build scalable data models using dimensional modeling principles, including star schemas, fact and dimension tables, data relationships, and semantic models.

• DAX Development and Optimization: Create advanced DAX measures, calculations, and time-intelligence logic. Optimize filter context, calculations, and model performance to deliver efficient reporting experiences.

• Data Transformation and Integration: Develop and maintain data transformation workflows using Power Query and M, supporting reliable data preparation, integration, and refresh processes.

• Microsoft Fabric Implementation: Work with Microsoft Fabric capabilities, including OneLake, Lakehouse and Warehouse environments, Dataflows, pipelines, and semantic models, to support the migration and modernization of BI solutions.

• Performance Optimization: Improve report responsiveness, semantic model efficiency, DAX execution, and data refresh performance across Power BI solutions.

• Data Security and Governance: Configure data relationships, access controls, and Row-Level Security (RLS) to ensure appropriate and secure access to reporting data.

• Data Validation and Quality Assurance: Compare migrated reports and calculations against existing Domo solutions, investigate discrepancies, and verify data accuracy, consistency, and reliability.

• Troubleshooting and Continuous Improvement: Diagnose and resolve issues involving data quality, calculations, models, refresh operations, and reporting. Identify opportunities to simplify workflows and improve existing BI solutions.

• Cross-Functional Collaboration: Work closely with Business Intelligence colleagues and relevant stakeholders to understand existing business logic, clarify requirements, and deliver effective migration outcomes.

• Technical Documentation: Document technical designs, business rules, data lineage, transformation logic, and migration decisions to support maintainability and knowledge sharing.

Requirements

• Professional Experience: Approximately 2–3 years of relevant experience in Power BI development, business intelligence, data analytics, or a related technical field.

• Power BI Expertise: Strong hands-on experience with Power BI Desktop and Power BI Service, including dashboard development, reporting, semantic modeling, and performance optimization.

• Microsoft Fabric Knowledge: A good understanding of Microsoft Fabric and its core capabilities, including data engineering, storage, transformation, pipelines, and semantic models.

• DAX Proficiency: Strong knowledge of DAX, including measures, filter context, time intelligence, calculation logic, and performance optimization techniques.

• SQL and Power Query: Strong SQL skills and practical experience with Power Query and the M language for data extraction, transformation, preparation, and validation.

• Data Modeling: Solid understanding of dimensional modeling, star-schema design, fact and dimension tables, relationships, and reusable semantic models.

• Data Engineering Fundamentals: Understanding of ETL/ELT processes, data integration, refresh scheduling, data quality checks, and validation methodologies.

• Analytical and Troubleshooting Skills: Ability to investigate complex data and reporting issues, identify root causes, validate results, and implement effective solutions.

• Business Logic Translation: Ability to understand existing reporting systems and translate established calculations, requirements, and business rules into accurate and efficient Power BI solutions.

• Independence and Accountability: A proactive, detail-oriented approach, with the ability to manage assigned tasks independently and deliver high-quality work within project timelines.

• Communication and Collaboration: Strong written and verbal communication skills and the ability to work effectively with technical colleagues and business stakeholders in a distributed team environment.

• Preferred Migration Experience: Previous experience migrating dashboards, datasets, or reporting solutions between business intelligence platforms is an advantage.

• Additional Technical Advantages: Familiarity with Domo, particularly Cards, Beast Mode, Magic ETL, and datasets, is beneficial. Experience with enterprise-scale Power BI or Microsoft Fabric implementations and an understanding of Medallion architecture are also desirable.

• Global Team Experience: Experience collaborating with international or geographically distributed teams is an added advantage.

• Contract Availability: Willingness to commit to a fixed-term, eight-month contractual engagement.

Benefits

• Remote Work Flexibility: Work remotely from India while collaborating with a globally distributed team.

• Fixed-Term Contract: An eight-month contractual engagement focused on a defined business intelligence modernization project.

• Meaningful Technical Project: Contribute to an enterprise-level migration from Domo to Microsoft Fabric and Power BI, helping modernize reporting infrastructure and analytics capabilities.

• Hands-On Technology Experience: Strengthen practical expertise in Power BI, Microsoft Fabric, DAX, SQL, Power Query, semantic modeling, and data transformation.

• Global Collaboration: Work alongside Business Intelligence professionals and stakeholders in an international environment.

• Professional Development: Expand your experience in platform migration, data architecture, reporting optimization, and enterprise analytics.

• Problem-Solving Opportunities: Work on complex technical challenges involving data accuracy, performance, integration, and scalable reporting.

• Compensation: Salary or contract rates are not specified in the original job description and can be confirmed during the recruitment process.