
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
October 10
🗣️🇧🇷🇵🇹 Portuguese Required

B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
• Manter e evoluir produtos de dados informacionais, assegurando a confiabilidade e disponibilidade dos pipelines e dashboards em Analytics • Levantar e compreender requisitos de negócio, traduzindo-os em soluções técnicas robustas e escaláveis • Desenvolver pipelines de dados e dashboards com foco em performance, qualidade e governança • Elaborar e compartilhar documentação, promovendo a democratização e o uso responsável dos dados • Garantir conformidade com normas de qualidade, segurança, privacidade e governança de dados • Cumprir prazos e entregas acordadas, assumindo responsabilidade pelos resultados • Atuar na melhoria contínua dos processos, propondo soluções que amplie a eficiência e a sustentabilidade dos produtos de dados
• Experiência em tecnologias de pipeline de dados e ferramentas de visualização (Looker, Power BI, Tableau) • Modelagem de dados e SQL avançado • Conhecimentos em Data Lake e arquitetura de dados analítica • Vivência em Google Cloud Platform (GCP) — BigQuery, Cloud Dataflow, Cloud Functions, Composer/Airflow • Programação em Python • Versionamento de código com GitHub, Bitbucket ou similares • Integração de dados com Informatica Cloud e DataStage
• Diversidade e inclusão • Oportunidades de desenvolvimento profissional
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