Data & A.I. Platform Solutions Architect

Há 4 dias


Viana do Castelo, Portugal Stefanini Emea Tempo inteiro

Descrição do CargoA Stefanini está a recrutar Solution Architects experientes com Data e Plataformas A.I. para integrar a equipa de um dos nossos clientes do sector Energético.
Tarefas Principais:Modelar requisitos de negócio - vertente dados - num modelo de dados normalizado, desnormalizado, em estrela ou outro padrão de acordo com os objectivos;Modelar requisitos de negócio - vertente dados - num modelo de dados normalizado, desnormalizado, em estrela ou outro padrão de acordo com os objectivos;Modelar requisitos de negócio num modelo de dados para além do tabular: colunar, grafo, geográfico, séries temporais, documento;Desenhar e aplicar arquiteturas de dados de referência de acordo com os requisitos da estratégia de gestão de dados;Definir indicadores inerentes à observabilidade do DataOps organizados em 3 aspectos:a) Saúde operacional de pipeline de dados (duração, atraso, retires, duração entre subsquentes execuções);b) Saúde ao nível do dataset (disponbilidade, freshess, volume, mudança de schema de dados);c) Saúde ao nível do dado (perfilagem dentro de "envelope de expectativa", detecção de outlier e anomalia, data drift e business rule enforcement)Requisitos:
Até 10 anos de experiência com as tecnologias mencionadas, em funções similares;Licenciatura em Engenharia de Software ou Engenharia informática ou similar;Boa capacidade comunicação escrita e verbal;Conhecimentos do mercado Energy & Utilities e RGPD (valorizado);Capacidade de trabalho em ambiente colaborativo e com equipas globais;Capacidade de análise crítica e focada em resolução de problemas;Conhecimentos da metodologia Agile , ferramenta JIRA e Confluence (valorizados);Compromisso de qualidade de entregas;Experiência em projetos estratégicos (valorizado);Conhecimento de idiomas (escrito e oral): inglês (obrigatório), português (valorizado), espanhol (valorizado);Conhecimentos actualizados de bases de dados e tecnologias analíticas, incluindo armazenamento NoSQL;Experiência em Plataformas Cloud (uma ou mais: AWS, Google, Azure);Conhecimento de práticas de governo de dados e de segurança de dados;Conhecimentos de Machine Learning , algoritmos e modelos estatísticos (como classificação, análise de séries temporais, regressão);Experiência em metadata management , data catalogs , data standards e melhores práticas de master data management;Experiência em Bases de dados BigData (uma ou mais: BigQuery, Azure Synapse, AWS RedShift, Cassandra, Couchbase, HDFS);Certificação – CELONIS;Experiência comprovada em implementações tecnológicas – CELONIS;Benefícios:Plataforma de formação de hard e soft skills;Bónus de recomendação / referenciação;Possibilidade de progressão na carreira;Seguro de saúde;



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