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Analytics Engineer Sênior
3 semanas atrás
Analytics Engineering
Atuando em times multidisciplinares com objetivo de alavancar o uso de dados, o time de Analytics Engineering tem a missão de tornar o Magalu mais produtivo na utilização de dados, apoiando-se em engenharia de software, técnicas de modelagem, qualidade e governança de dados. Nós atuamos de forma matricial em times multidisciplinares extremamente conectados às estratégias e aos problemas de negócio. O Chapter de Analytics Engineering trabalha em parceria com os times de Ciência de Dados e Machine Learning Engineering, além de contar com o apoio dos times de Governance, de plataforma e de produtos.
Contexto de negócio
Para essa posição específica o Analytics Engineer irá atuar na frente de Magalu ADS.
Conhecimentos e habilidades necessários
- Habilidades em programação, preferencialmente Python;
- Experiência com Git;
- Conhecimento em Apache Airflow;
- Habilidades analíticas e exploratórias de dados;
- Conhecimentos avançados em SQL, e de bancos de dados relacionais e não relacionais;
- Conhecimentos de ferramentas de DataViz e criação de dashboards
- Conhecimentos em Modelagem de dados;
- Ter experiência em Spark e outras tecnologias do contexto de Bigdata Analytics;
- Experiência com ambiente cloud, preferencial GCP.
Diferencial
- Experiência em modelagem preditiva;
- Experiência no desenvolvimento de testes automatizados;
- Experiência na construção e consumo de API's REST;
- Conhecimento em Kurbenetes, Docker, fluxos de integração contínua.
- Conhecimento em ferramentas de monitoramento, como Prometheus, Grafana.
- Conhecimento em Kibana / ElasticSeach.
Como será o seu dia a dia
O Analytics Engineer pode apresentar habilidades diferentes entre engenharia, análise e visualização de dados. Mas o dia a dia do time se resume a:
- Trabalhar em ambiente colaborativo juntos ao time e aos demais chapters;
- Estruturar pipelines de ingestão e transformação de dados;
- Prover dados limpos para análises e modelos de machine learning;
- Aplicar boas práticas de desenvolvimento de Software, engenharia e testes;
- Sugerir e criar métricas e monitoramentos para acompanhar a execução dos pipelines quando necessário;
- Conduzir análises profundas e contribuir para Insights e tomada de decisão;
- Atuar e auxiliar na construção de visualizações;
- Treinamentos da área de negócio nas ferramentas de auto serviço, democratizando o acesso aos dados dentro da companhia para a tomada de decisão;
- Traduzir regras de negócio para uma abordagem técnica e criar produtos de dados e métricas.
Nossos valores nos unem e nossas diferenças nos potencializam como um grupo. Mais do que igualdade, buscamos equidade: Aqui, temos espaço para sermos autênticos, independentemente de gênero, etnia, raça, orientação sexual, clero ou deficiência.
Como é o ambiente de trabalho?
No Luizalabs, temos grande autonomia e responsabilidade, somos multidisciplinares, auto gerenciáveis e com pouca burocracia no nosso cotidiano. Buscamos romper as barreiras que diminuem nossa capacidade de agregar valor ao negócio. Fazemos entregas frequentes e agimos rapidamente ao encontrar problemas; nosso ritmo é acelerado, mas temos tranquilidade e equilíbrio para planejar e executar nossas tarefas com qualidade. Aqui você tem liberdade para fazer de forma simples e criativa, com total autonomia e apoio para utilizar e desenvolver tecnologias de ponta e aplicá-las em larga escala de produção para fazer a diferença na vida de milhões de pessoas.
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