Sr Data Analyst
2 semanas atrás
RESPONSABILIDADES E ATRIBUIÇÕES
O profissional será responsável em prover soluções técnicas para novas features e dar o suporte necessário as features já existentes, afinal, nem tudo são flores.
Esperamos também que essa pessoa auxilie os outros membros do time em questões técnicas não esquecendo de fornecer a melhor solução para o negócio.
Algo que prezamos bastante é qualidade, isso inclui um código limpo e legível (clean code).
Também é desejável que o mesmo tenha um perfil intra-empreendedor, onde seus objetivos estejam alinhados com os objetivos da empresa, afinal, temos muito orgulho do que fazemos aqui
REQUISITOS E QUALIFICAÇÕES
Requisitos
• Superior em Ciência da Computação, Engenharias, Sistemas de Informação ou áreas correlatas.
• Experiência em construção e otimização de ETL.
• Experiência com controle de versionamento com Git.
• Experiência com Python, SQL e PL/pgSQL.
• Experiência com desenvolvimento utilizando ambiente AWS.
• Experiência com tecnologias AWS: Redshift, S3, EMR, Glue e Lambda.
• Experiência com análise e desenvolvimento de sistemas, definições de arquitetura e orientação a objetos.
• Experiência na construção de serviços de integração de dados em qualquer camada (captura, ingestão, armazenamento, processamento e delivery).
• Experiência com containerização de aplicações como Docker e Kubernetes.
• Experiência em Linux, Shell Script, YAML e Terraform.
Desejável
• Conhecimento em design patterns e paradigmas de programação.
• Conhecimento em técnicas de Clean Code.
• Conhecimento em soluções de Big Data, Kafka, Airflow, AWS Athena, Spark e KMS.
• Conhecimento em arquitetura de microsserviços.
• Conhecimento em processamento distribuido e massivo de dados.
• Experiência com configuração e customização de ambientes com integração contínua e delivery contínuo utilizando o Jenkins.
• Conhecimento na ferramenta KEDRO.
• Experiência na implementação de soluções com dados para feature engineering serão diferenciais.
• Vivência com métodos ágeis de desenvolvimento: XP (principalmente com práticas de pair programming e TDD), Scrum e Kanban ou variações Lean.
• Conhecimento com soluções de observabilidade como New Relic, Pagmon e Splunk.
• Conhecimento em ferramentas de mensageria como Kafka.
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