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Nagarro

Staff Engineer - Power BI Developer

Nagarro

Guadalajara · Sonora · Mexico Full-time 5-10 3d ago

Job description

Company Description We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Job Description What You'll Do As a Consulting Power BI Developer, you will: Design, develop, and deploy enterprise Power BI reports, dashboards, and semantic models (datasets) that meet client business requirements and performance standards. Build and optimize data models using SQL, DAX and Power Query (M), applying best practices for star schema design, calculated measures, and row-level security (RLS). Collaborate with data architects and engineers to connect Power BI to data sources including On-prem SQL, Azure Synapse Analytics, Microsoft Fabric Lakehouses, Azure SQL, and Databricks. Develop and maintain Microsoft Fabric workspaces, including Lakehouses, Data Pipelines, and Dataflows Gen2, as part of end-to-end analytics solutions. Translate complex business requirements into clear, actionable data visualizations and self-service BI capabilities for client stakeholders. Implement deployment pipelines, version control practices, and workspace governance standards to ensure reliable, scalable BI solutions. Support client enablement and knowledge transfer through documentation, training sessions, and handoff materials to ensure long-term client self-sufficiency. Advise clients on Power BI licensing, capacity planning (Premium/Fabric SKUs), and governance best practices aligned to their organizational maturity. Contribute to the development of RapidScale's Power BI practice standards, reusable solution templates, and internal knowledge resources. Participate in pre-sales activities, including solution scoping, effort estimation, and delivery of client-facing presentations and demonstrations. Qualifications Minimum Requirements Power BI Expertise: Advanced proficiency in Power BI Desktop, Power BI Service, and the full report development lifecycle. Data Modeling: Strong command of DAX for calculated columns, measures, and time intelligence; solid understanding of star/snowflake schema design. Write advanced SQL queries (joins, CTEs, window functions, query optimization) to support analytical workloads. Power Query (M): Ability to write and troubleshoot complex data transformation logic using Power Query in both Power BI and Dataflows. Cloud Data Connectivity: Experience connecting Power BI to Azure-based data sources such as Azure SQL Database, Azure Synapse Analytics, or Azure Data Lake Storage. Microsoft Fabric Familiarity: Working knowledge of Microsoft Fabric components including Lakehouses, Dataflows Gen2, and semantic model integration. Client Communication: Demonstrated ability to translate technical findings into clear business narratives for non-technical stakeholders. Collaboration: Experience working in cross-functional teams alongside data engineers, architects, and project managers. Preferred Qualifications Experience in a consulting or client-facing services delivery role. Microsoft certifications such as PL-300 (Power BI Data Analyst) or DP-600 (Microsoft Fabric Analytics Engineer). Familiarity with other Azure data platform services including Azure Data Factory, Azure Databricks, or Azure Purview. Experience with Paginated Reports (SSRS/RDL) for operational reporting requirements. Exposure to CI/CD pipelines for BI assets using Azure DevOps or GitHub Actions. Knowledge of data governance and data catalog concepts within the Microsoft ecosystem. Familiarity with complementary BI tools such as Tableau or Qlik for client migration or comparison engagements. Experience using Power BI Reporting with M365 and Co-Pilot inte Qualifications Must have Skills : Power BI (Strong), Microsoft Fabric (Strong), Azure Data Factory