Analytics Engineer

2 meses atrás


Brasil ELT Desenvolvimento Humano Tempo inteiro

Nosso cliente é uma empresa de soluções inovadoras para a indústria de bens de consumo, distribuidores e varejo, especialista em transformar a experiência de clientes B2B em diferentes relações do setor.

Com 05 anos de existência, conta com mais de 40 clientes no Brasil e 14 no exterior e, faz parte um grupo de tecnologia da informação com mais de 20 de mercado.

O QUE ESTAMOS BUSCANDO

Buscamos um Engenheiro de Dados Pleno para integrar nossa equipe.

O profissional será responsável por projetar, construir e manter a infraestrutura de dados necessária para armazenar, processar e disponibilizar grandes volumes de dados de forma eficiente.

As atividades incluem:

* Comunicação e colaboração com clientes internos e externos para levantamento de requisitos e construção de soluções.

* Construção de ferramentas de validação dos dados.

* Criação de pipelines de dados.

* Desenvolvimento de infraestrutura na nuvem.

* Gerenciamento de data warehouse.

* Integração de diferentes fontes de dados, garantindo consistência e reduzindo a manutenção de código.

* Auxílio na otimização de desempenho, revisão de código e documentação.

Requisitos :

* Conhecimento em serviços de nuvem, preferencialmente GCP, incluindo BigQuery, Cloud Functions, Cloud Pub/Sub, Cloud Storage, Data Catalog e Dataflow.

* Conhecimentos em computação distribuída, incluindo ferramentas como PySpark, Dask e Hadoop.

* Conhecimento em ferramentas de orquestração de dados, como o Airflow (Cloud Composer).

* Conhecimento em Shell Scripting (Bash, CMD) em ambientes Unix/Linux e Windows.

* Experiência sólida como engenheiro de dados.

* Experiência em versionamento de código com Git.

* Proficiência nas linguagens Python e SQL.

Diferenciais:

* Conhecimento em ferramentas de monitoramento, como Grafana e Prometheus.

* Conhecimento em Terraform para construção e gerenciamento de infraestrutura.

* Conhecimento em práticas de CI/CD com ferramentas como Cloud Build, Jenkins e Azure DevOps.

* Conhecimento em Docker, Kubernetes.

* Conhecimento em dbt

Contratação CLT | Benefícios | 100% remota


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