Engenheiro de Dados Sênior – Projetos de Desenvolvimento

🕒 July 13

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 41%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dadoteca

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Dadoteca is a Brazilian data consultancy that transforms data into actionable knowledge through Business Intelligence, Advanced Analytics, Artificial Intelligence, automation, and data architecture & governance. As a Microsoft Gold Partner for Data Analytics and a Databricks Consulting Partner, Dadoteca delivers consulting and outsourcing services using Power BI, Azure, SQL Server and Python for clients across sectors (energy, retail/shopping centers, healthcare) in Brazil and internationally. The company focuses on tailored implementations, dashboards, ETL pipelines, automation and AI-driven solutions to improve strategic decision-making and operational performance.

📋 Description

• Levantar requisitos e traduzir necessidades de negócio em soluções técnicas • Participar da Elaboração de desenhos de arquitetura de dados • Desenvolver pipelines e soluções utilizando Azure e Databricks • Implementar arquitetura medalhão, com camadas Bronze, Silver e Gold • Desenvolver e otimizar rotinas de processamento em Python • Trabalhar com modelagem dimensional e bancos de dados • Participar das cerimônias da squad e realizar code reviews • Apoiar tecnicamente profissionais menos experientes • Atuar diretamente no desenvolvimento das demandas mais complexas

🎯 Requirements

• Experiência sólida em Engenharia de Dados • Domínio de Databricks Moderno e Azure • Experiência avançada com Python • Conhecimento em arquitetura medalhão e modelagem dimensional • Experiência forte com MongoDB • Conhecimento em arquitetura de dados e levantamento de requisitos • Boa comunicação com áreas técnicas e de negócio • Autonomia, capacidade analítica e perfil orientado à solução de problemas

🏖️ Benefits

• Remoto • Projetos de Desenvolvimento em ambiente Azure e Databricks