Descrição de Vaga



Código: 2978
Título da vaga: Administrador de Dados (DBA) - DA - Expert
Local: São Paulo,São Paulo
Região: Outra
Tipo de emprego: Efetivo
Nível Profissional:
NÍvel Acadêmico: Ensino Superior Cursando
Turno/Horas:
Habilidades: A technology focussed individual, data engineers will need to design, configure, develop, deploy and support data and analytics application. Data engineers should be able to work in a fluid environment with changing requirements whilst maintaining absolute attention to detail. The data and analytics solution will be developed using wide range of azure technology services serving to varied architecture pattern needs.

Key Responsibilities
Develop, test, operate and support the end-to-end batch, near real time data and analytics solution
Build stream pipelines leverage IoT Hub, Event Hub, Databricks streaming and other Azure stream technologies
Be able to develop quality Python/PySpark and adopt/implement software development best practices to ensure high quality standards are met
Performs thorough code reviews of fellow developers and ensure quality code
Use DevOps knowledge, cloud and data engineering expertise to operate, monitor and troubleshoot the pipelines / code bases
Effectively test and adopt testing frameworks to embed and codify tests
Take technical ownership for the implementation of the DE solution at an allocated mining site
Clearly communicate and explain concepts to senior stakeholders and key teams during sprint reviews and other programme meetings
Have a clear understanding of agile best practices and proactively collaborate and support the team if needed during the whole sprint cycle
Document technical implementation details and artefacts created as part of the process
Serve data for application and analytics through a variety of technologies such as Delta Lake, SQL DB, CosmosDB and TSI Build transformation pipelines into dimensions and facts and therefore a strong knowledge of standard BI concepts is mandatory
Categoria:
Remuneração Básica: -   - 
Benefícios: 0
Resumo da Vaga: A technology focussed individual, data engineers will need to design, configure, develop, deploy and support data and analytics application. Data engineers should be able to work in a fluid environment with changing requirements whilst maintaining absolute attention to detail. The data and analytics solution will be developed using wide range of azure technology services serving to varied architecture pattern needs.

Key Responsibilities
Develop, test, operate and support the end-to-end batch, near real time data and analytics solution
Build stream pipelines leverage IoT Hub, Event Hub, Databricks streaming and other Azure stream technologies
Be able to develop quality Python/PySpark and adopt/implement software development best practices to ensure high quality standards are met
Performs thorough code reviews of fellow developers and ensure quality code
Use DevOps knowledge, cloud and data engineering expertise to operate, monitor and troubleshoot the pipelines / code bases
Effectively test and adopt testing frameworks to embed and codify tests
Take technical ownership for the implementation of the DE solution at an allocated mining site
Clearly communicate and explain concepts to senior stakeholders and key teams during sprint reviews and other programme meetings
Have a clear understanding of agile best practices and proactively collaborate and support the team if needed during the whole sprint cycle
Document technical implementation details and artefacts created as part of the process
Serve data for application and analytics through a variety of technologies such as Delta Lake, SQL DB, CosmosDB and TSI Build transformation pipelines into dimensions and facts and therefore a strong knowledge of standard BI concepts is mandatory


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