
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 1
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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.
• Construir e manter pipelines de ingestão e processamento de dados a partir de múltiplas fontes. • Desenvolver processos de extração, transformação e carga (ETL/ELT) utilizando Python, Apache Airflow e Azure Data Factory. • Estruturar e gerenciar dados em Data Lake, garantindo organização e governança das informações. • Atuar no desenvolvimento de transformações e processamento de dados utilizando Spark / SparkSQL em Databricks. • Suportar, monitorar e evoluir a plataforma de dados do cliente, garantindo estabilidade e performance. • Trabalhar com diferentes bancos de dados e tecnologias de armazenamento, como SQL Server, Oracle, MongoDB e Hadoop. • Colaborar com times multidisciplinares em um ambiente dinâmico e orientado a dados.
• Experiência sólida com Azure Databricks • Conhecimento em Azure Data Factory e Azure Data Lake • Experiência em desenvolvimento com Python • Conhecimento em Apache Spark / SparkSQL • Experiência com bancos de dados Oracle e SQL Server. • Experiência com metodologias ágeis (Scrum ou Kanban). • Conhecimento em Git / Azure DevOps. • Certificações em Cloud, preferencialmente Microsoft Azure. • Inglês para leitura e comunicação em ambiente técnico.
• Não permitimos nenhum tipo de discriminação. • Encorajamos a todos a participarem em nosso processo de contratação, não importando o gênero, idade, raça, religião. • Temos uma cultura de igualdade.
Apply Now🕒 April 1
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