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BI Developer

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
Portugal/Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

BI Developer: Designing and owning the analytical layer of a data platform with an accent on data modeling, ETL/ELT pipeline development, and delivering actionable insights. Focus on building scalable data models, ensuring data reliability, and creating high-performance dashboards for strategic decision-making.

Location: Must be based in Portugal or Brazil

Company

hirify.global is a technology services company focused on delivering innovative software and data solutions.

What you will do

  • Design, develop, and maintain BI solutions including reports, dashboards, and data models.
  • Translate business requirements into scalable data models and meaningful visualizations.
  • Build and optimize ETL/ELT processes to ensure reliable and timely data availability.
  • Collaborate with Data Engineers to improve data quality, performance, and architecture.
  • Partner with business stakeholders to define KPIs and ensure consistent metric definitions.
  • Improve existing reporting solutions with a focus on usability and maintainability.

Requirements

  • Bachelor's degree in Computer Science, Data Analytics, or a related field.
  • 3+ years of experience as a BI Developer, Data Analyst, or Analytics Engineer.
  • Strong proficiency in SQL and relational databases.
  • Experience building interactive dashboards using Power BI, Tableau, or Looker.
  • Solid understanding of data modeling concepts like star schema and dimensional modeling.
  • Fluent in English (written and spoken).

Nice to have

  • Familiarity with cloud data platforms such as Azure, AWS, or Google Cloud.
  • Experience with version control tools like Git.
  • Experience working in Agile environments.

Culture & Benefits

  • Opportunity to work on end-to-end data products.
  • Collaborative environment working closely with engineering and business teams.
  • Focus on data governance and high-quality engineering standards.

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