
1001 - 5000 employees
Founded 1996
🤝 B2B
💼 Consulting
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.
🕒 February 5
🗣️🇧🇷🇵🇹 Portuguese Required
Where this job comes from
Posted on Keyrus's careers page, not through a job board
First seen by Remote Rocketship February 5
Still open on Keyrus's site. Checked 6 hours ago.

1001 - 5000 employees
Founded 1996
🤝 B2B
💼 Consulting
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.
• Projetar e implementar pipelines de dados eficientes e escaláveis, adequados a diferentes cenários de negócio (Data Lake, Data Warehouse, Data Mart). • Criar e manter pipelines de ingestão e transformação de dados em ambientes GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage). • Definir padrões de modelagem relacional e dimensional (star schema, snowflake, Data Vault, etc.), com foco em performance e usabilidade. • Atuar junto a áreas de negócio para traduzir requisitos em modelos de dados claros e consistentes. • Assegurar qualidade, governança, segurança e compliance em todo o ciclo de vida dos dados. • Monitorar e otimizar custos e performance em nuvem.
• Experiência avançada em modelagem de dados (conceitual, lógica e física), especialmente em ambientes analíticos. • Conhecimento profundo em SQL e boas práticas de design para Data Warehouse/BigQuery. • Experiência com linguagens como Python e Spark para processamento de dados. • Domínio do ecossistema GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer). • Vivência em práticas de CI/CD, versionamento e automação de pipelines. • Conhecimento de arquiteturas modernas de dados (data mesh, lakehouse, streaming).
• Não permitimos nenhum tipo de discriminação • Acreditamos na diversidade e inclusão
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