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TOPMIND

Data, BI, Data Engineering

TOPMIND

. Join TopMind’s talent pool for future opportunities in Data, BI, and Data Engineering .

Posted 9/29/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Analytics, Data Engineering, and Business Intelligence, with a strong focus on developing and maintaining data pipelines, ETL/ELT processes, and data visualization solutions. Proficient in utilizing Analytics and BI tools to create impactful metrics and KPIs.

Highest-signal resume keywords
Data AnalyticsData EngineeringBusiness Intelligence (BI)ETL/ELTData Visualization

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisData ModelingData ProcessingData IntegrationData PipelinesDatabasesMetricsKPIsAnalytics ToolsBI Tools

Tech Stack

Tools & technologies
ETL

About the role

Key responsibilities & impact
  • Join TopMind’s talent pool for future opportunities in Data, BI, and Data Engineering
  • Potentially work on data analysis and the development of metrics and KPIs
  • Develop and maintain data environments and pipelines
  • Work with data engineering, integration, and visualization
  • Develop and maintain solutions involving ETL/ELT, data modeling, databases, and Analytics and BI tools

Requirements

What you’ll need
  • Experience in Data Analytics and Data Analysis
  • Experience in Data Engineering
  • Experience in Business Intelligence (BI)
  • Experience with dashboards, metrics, KPIs, and data visualization
  • Experience with ETL/ELT and data integration
  • Experience with data modeling and data processing
  • Experience developing and maintaining data pipelines
  • Experience with databases and data environments
  • Experience with Analytics and BI tools and platforms
  • Professionals at all levels of seniority are considered

Benefits

Comp & perks
  • Opportunities across various industries and work models
  • Potential future opportunities in Data, BI, and Data Engineering