Lead Data Analyst

2 semanas atrás


Brasil Conquest One Tempo inteiro

A Conquest One é uma empresa especializada em Staffing de Tecnologia da Informação, que trabalha há 25 anos oferecendo soluções inovadoras e sustentáveis de outsourcing e hunting aos seus clientes, ajudando cada um deles nos seus desafios de forma única e exclusiva. Os nossos valores são cuidar de nossos profissionais, fomentar seu crescimento e inspirá-los a serem os melhores profissionais que podem ser. Somos uma empresa certificada pela GPTW como uma das melhores empresas para se trabalhar.

Procuramos consultores apaixonados por tecnologia e movidos por desafio, interessados no desafio abaixo:

Lead Data Analyst - Híbrido em São Paulo

Requisitos obrigatórios:

• Mais de 2 anos trabalhando em um ambiente de TI ágil com implantação de solução

• Vivência em implementação end-to-end em projetos;

• Experiência em desenvolvimento de integrações de dados em Cloud (mandatório: AWS, desejável: Google Cloud Platform)

• Experiência no desenho de solução de sistemas complexos com uso de dados em larga escala;

• Experiência em Ingestão e processamento de dados;

• Conhecimentos em Bases de dados: Presto, SQL Server, Oracle;

• Experiência com Python;

• Experiência com SQL;

• Excelente conhecimento de técnicas de modelagem de dados;

• Forte experiência em Gestão de Dados, Integração e Governança;

• Experiência com Pyspark – diferencial;

• Inglês – diferencial.

Responsabilidades:

• Liderar o desenvolvimento e sustentação das soluções de dados com base nas necessidades de negócio;

• Prover expertise em desenho de arquitetura técnica, estratégias e planos para novas soluções;

• Detectar novas fontes de dados e desenvolver processos padronizados para adaptar à solução de dados;

• Habilidades de relacionamento com áreas de negócios, discussões com o pessoal sênior e membros de diferentes times;

• Atuação sólida em Engenharia de Dados, ferramentas de modelagem e desenvolvimento de soluções de extração e integração de dados;

• Definir padrões para documentação e modelagem de dados, melhores práticas e técnicas;

• Imprescindível saber elaborar artefatos de dados como: Glossário de dados, Catálogo de dados, Modelo de dados conceitual, lógico e físico, Business Flow;

• Definir macro entidades, regras de transformação;

• Mapeamento de dados das diversas origens de dados;

• Capacidade de definir uma solução de dados com base nos requisitos de negócio (por exemplo, fluxos de dados, jornadas, etc.);

• Realizar testes e validação de soluções.


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