
1001 - 5000 employees
Founded 1996
🤝 B2B
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.
🕒 April 24
🗣️🇧🇷🇵🇹 Portuguese Required
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 1996
🤝 B2B
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.
• Desenvolver, orquestrar e monitorar pipelines de dados utilizando Azure Data Factory (ADF) • Atuar na ingestão, transformação e disponibilização de dados em ambientes de Data Lake • Trabalhar com grandes volumes de dados utilizando Azure Synapse Analytics • Desenvolver e otimizar processos de transformação de dados com Databricks (PySpark/SQL) • Estruturar e manter camadas de dados (raw, trusted, refined) garantindo qualidade e governança • Integrar diferentes fontes de dados (APIs, bancos relacionais, arquivos, etc.) • Garantir performance, escalabilidade e boas práticas na construção das soluções • Apoiar na definição e evolução da arquitetura de dados (Data Lake / Lakehouse)
• Experiência como Engenheiro(a) de Dados • Domínio em Azure Data Factory (ADF) para criação e orquestração de pipelines • Experiência com Azure Synapse Analytics • Experiência prática com Databricks (PySpark e/ou Spark SQL) • Vivência em ambientes de Data Lake (organização por camadas) • Experiência com processos de ETL/ELT • Conhecimento em modelagem de dados • Experiência com integração de múltiplas fontes de dados
• A Keyrus acredita na diversidade e na inclusão. Encorajamos a todos a participarem em nosso processo de contratação, não importando o gênero, idade, raça, religião. Não permitimos nenhum tipo de discriminação.
Apply Now🕒 April 24
Mission Manager leading a DoW platform modernization program at Defense Unicorns. Overseeing delivery execution and financial performance on a multi-year contract while supporting mission value across multiple disciplines.
🇺🇸 United States – Remote
💵 $178.5k - $241.5k / year
💰 Seed Round on 2022-10
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🕒 April 24
Product Manager responsible for managing infrastructure for healthcare data processing at Pearl Health. Collaborating with cross-functional teams to ensure efficient operation and quality data management.
🇺🇸 United States – Remote
💵 $135k - $165k / year
💰 $18M Series A on 2021-09
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🕒 April 23
Full Stack Data Engineer at Codvo focusing on designing, building, and maintaining Databricks data pipelines and operationalizing machine learning models. Collaborative role with a focus on data reliability and observability.
🕒 April 22
Data Engineer responsible for designing and developing data pipelines for video advertising campaigns. Collaborating with a senior data engineer and a high-output team to shape data architecture.
🕒 April 21
51 - 200
Data Engineer responsible for building reliable data systems at a Series C startup tackling social issues. Collaborate across teams to ensure data integrity and access.