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Compass

Senior Power BI Developer

Compass

Power BI Developer responsible for developing high-performance dashboards integrating varied data sources at Compass UOL in a hybrid work setting.

Posted 6/5/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Power BIDAXSQLPower Query (M)ETL processesdimensional modelingAzureData FactorySynapse AnalyticsData Lake
Soft Skills
stakeholder partnershiprequirement analysisuser experience improvementdocumentationgovernance implementation
Tools & Technologies
APIsSQL ServerData Lakedata visualization toolsagile methodologiesScrumKanban
Industry Keywords
data governancedata lineageinformation securityLGPD

Tech Stack

Tools & technologies
AzureETLSQL

About the role

Key responsibilities & impact
  • Develop high-performance executive, tactical, and operational dashboards using Power BI.
  • Connect, integrate, and structure data from multiple sources, such as APIs, SQL Server, Data Lake, and others.
  • Define, monitor, and evolve KPIs and metrics aligned with business needs.
  • Apply UX/UI best practices to improve the user experience in data visualization.
  • Create, document, and maintain ETL processes using Power Query (M).
  • Implement governance, security, and documentation standards for data and reports.
  • Work in partnership with stakeholders to gather, analyze, and refine requirements.

Requirements

What you’ll need
  • Solid experience with Microsoft Power BI.
  • Advanced knowledge of DAX.
  • Experience with dimensional modeling.
  • Proficiency in SQL for handling large volumes of data.
  • Experience with Power Query (M).
  • Experience building and maintaining ETL processes.
  • Experience with Azure, particularly: Data Factory, Synapse Analytics, Data Lake.
  • Knowledge of data governance and data lineage.
  • Experience with agile methodologies (Scrum and Kanban).
  • Familiarity with information security best practices and LGPD as applied to data.

Benefits

Comp & perks
  • Solid experience with Microsoft Power BI.
  • Advanced knowledge of DAX.
  • Experience with dimensional modeling.
  • Proficiency in SQL for handling large volumes of data.
  • Experience with Power Query (M).
  • Experience building and maintaining ETL processes.