
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.
September 5
🗣️🇧🇷🇵🇹 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.
• Apoiar no desenvolvimento e manutenção de pipelines de dados na GCP. • Auxiliar na ingestão, transformação e armazenamento de dados em BigQuery e Cloud Storage. • Colaborar com a equipe na construção de processos de ETL/ELT. • Monitorar cargas de dados, identificando falhas e propondo melhorias. • Contribuir para a documentação técnica e boas práticas de governança de dados. • Apoiar projetos integrados com áreas de Analytics, BI e Data Science.
• Conhecimento básico em SQL e Python. • Noções de BigQuery, Cloud Storage e conceitos de Data Lake/Data Warehouse. • Familiaridade com ferramentas de versionamento de código (Git). • Desejável conhecimento em Airflow ou orquestradores similares. • Perfil proativo, colaborativo e com interesse em aprender novas tecnologias.
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