Data engineer

3 semanas atrás

São Paulo, São Paulo, Brasil Netvagas Tempo inteiro

Familiaridade com metodologias ágeis;

Experiência em Databricks, SQL, Python, ETL/ELT, Modelagem de Dados, Data Lake, Data Warehouse e ferramentas de visualização de dados;

Conhecimento em AWS Cloud Watch, KMS, Glue, Lambda, S3, Redshift, Snowflake, Jenkins, GitLab, Denodo, Kubernetes;

Alta capacidade de aprendizado;

Disponibilidade para atuação híbrida (3x presencial na semana na Vila Olímpia).

Qualificações desejáveis:

Experiência em projetos internacionais é um diferencial;

Fluência em português e inglês (escrito e falado).

Redigir documentos de design técnico;

Gerenciar o ambiente Databricks;

Gerenciar componentes em nuvem da AWS, Azure e GCP;

Desenvolver soluções utilizando (Java/Python/Spark/Scala);

Configurar componentes de rede em ambientes híbridos;

Definir boas práticas para armazenamento de dados relacionais e não relacionais;

Implementar melhorias em ambientes de Data Lake e Data Warehouse;

Implementar e gerenciar bancos de dados SQL e NoSQL;

Definir e desenvolver soluções de DevOps, Docker e Kubernetes;

Discutir e definir as melhores soluções para integrações de sistemas;

Apoiar a criação de processos de governança de dados;

Discutir as melhores soluções para apoiar a estratégia de BI de autosserviço na empresa.

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