Vaga: Vaga de Analista Desenvolvedor em Blumenau/SC - home office
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Cargo/Função: Analista Desenvolvedor
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Localização: Blumenau / SC
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Salário: a combinar
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Empresa: Confidencial O que é isso?
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Descrição Geral
Empresa localizada na cidade de Blumenau/SC do ramo Informática, contrata Analista Desenvolvedor.
Atribuições
Here at mindera, we are continuously developing a fantastic team, and would love it for you to join a data engineer, you will be responsible for building, maintaining, scaling, and integrating big data based platforms. Notwithstanding, you will also be engaged with the data science team in setting up and automating the data science models/algorithms for production is a fantastic opportunity for someone who is passionate about data and are excited to use different tools to provide data insight for further analysis and drive business and international expected traveling time varies according to project/client and organisational needs: 0%-15% position is only available if you want are living in portugal or if you are interested in relocation. Requirementsyoure good at object-Oriented programming languages building and optimising etl / elt data pipelines advanced experience with data modelling such as kimball techniques advanced experience with data warehouse design advanced working sql knowledge and experience working with relational databases, as well as familiarity with one or more cloud-Based data warehouses such as snowflake, redshift, bigquery experience with dbt (data build tool) experience with python, shell script experience with iac tools such as terraform, cloudformation working with raw data, structured and semi-Structured experience with source control, continuous integration, delivery and deployment through ci pipelines supporting and working with bi and analytics teams in a dynamic environment able to collaborate and effectively pair program with other engineers working with aws cloud services in production (api gateway, aws lambda, ssm, sns, sqs, firehose, s3, sagemaker etc) knowledge of scrum, kanban or other agile frameworks is beneficial, but not required you rock at solving business problems by modelling business events following the best practices of agile data warehouse design building elt/etl data pipelines using modern data stack tools benefitsth
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