Data Engineering Associate
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Venha fazer a diferença com performance e criatividade ao lado da Gateware
Somos uma empresa focada em tecnologia, inovação, parceira SAP Partner Open Ecosystem e SAMSUNG SDS, participante do Pacto Global da ONU no Brasil, certificada GPTW (Great Place To Work) pela 6a vez consecutiva e certificada GPMH (Great People Mental Health) pela 2a vez consecutiva.
Com mais de 25 anos de história, promovemos a transformação através de soluções e serviços de TI.
Gestão Estratégica: GMO Gestão de Mudanças, PMO Gestão de Projetos, Cutover Estratégico de Negócio e Governança;
Alocação deProfissionais e Squads de Desenvolvimento: Profissionais especializados e times de tecnologia, com acompanhamento exclusivo.
Além disso, inovamos diariamente para proporcionar um ambiente de alta performance e que apoia a diversidade.
Estamos com tudo pronto para dar as boas-vindas a um profissional incrível como você
Principais responsabilidades
Mapear e analisar jobs, workflows e dataflows existentes no SAP BODS;
Identificarfontes, destinos, dependências, regras de transformação e regras de negócio;
Desenvolverestratégia técnica para migração dos processos;
Reconstruirpipelines utilizando a tecnologia ELT definida para o novo ambiente;
Desenvolvere otimizar pipelines de ingestão e transformação de dados;
Realizar reconciliação entre os resultados produzidos pelo BODS e pela nova solução;
Garantir integridade e qualidade dos dados durante a migração;
Realizar testes técnicos e apoiar processos de homologação;
Analisar performance e otimizar pipelines;
Apoiar a desativação progressiva dos processos executados no BODS;
Trabalhar em conjunto com Data Engineers, arquitetos, equipes SAP e áreas de negócio;
Documentar arquitetura, pipelines, regras e procedimentos operacionais.
Requisitos técnicos
Experiência prática com SAP BusinessObjects Data Services (BODS);
Experiênciacom desenvolvimento e manutenção de processos ETL;
Experiênciacom integração e transformação de grandes volumes de dados;
Conhecimento de modelagem e processamento de dados;
Experiênciacom troubleshooting de pipelines;
Conhecimento de conceitos de ETL e ELT;
Experiênciacom bancos de dados relacionais;
Capacidade de compreender regras de negócio implementadas em pipelines legados e reconstruí-las em uma nova arquitetura.
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