2351 ENTRY-LEVEL DATA ENGINEER
A PRIORI EXCELENCIA EM RECURSOS HUMANOS · Presencial · Curitiba, PR
Recebendo candidaturas · conferida em 14/11
Ficha da vaga
- Modelo
- Presencial
- Onde aceita
- Aceita candidatos do Brasil
- Senioridade
- Senioridade não informada
- Salário
- Salário não divulgado
Fonte: InfoJobs · Ver vaga original →
- python
- sql
- git github
- power bi
- metodologias ageis
- comunicacao
Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.
Sobre a vaga
A company is seeking an Entry-Level Data Engineer based in Curitiba, PR to work on data mining, ETL, pipeline maintenance, and data transformation.
O que você vai fazer
- Data mining, which refers to the application of statistics in the form of exploratory data analysis to reveal patterns and trends in data from existing data sources
- Identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team in the development of data products
- Transform data into a useful format for analysis, managing the source, structure, quality, storage, and accessibility of the data so that it can be queried and analyzed by other analysts and engineers
- Maintain pipelines and its affected schemas in support of high volume, complex data transactions for specific services or groups of services
- Analyze and present data in a summarized and visually appealing way has become part of almost every business analyst and data scientist role
O que pedem
- You have a degree in Engineering, Computer Science or related area
- Programming skills in Python, Spark, SQL and DAX
- Experience with large real-world datasets
- ETL knowledge with Databricks skills, including Airflow
- Experience in coding versioning management tools (e.g., Bitbucket, GitHub, Azure DevOps)
Descrição completa da vaga
Área e especialização profissional: Engenharia - Engenharia Computação, Sistemas Senioridade: Analista Lugar de trabalho: Curitiba, PR Regime de contratação de tipo Efetivo – CLT Jornada Período Integral Requirements: You have a degree in Engineering, Computer Science or related area; Programming skills in Python, Spark, SQL and DAX; Experience with large real-world datasets; ETL knowledge with Databricks skills, including Airflow; Experience in coding versioning management tools (e.g., Bitbucket, GitHub, Azure DevOps); Familiarity with analytics libraries such as Pandas, Numpy, Scikitlearn, Spark and others; Experience in agile environment; Competent computer skills in Microsoft Office and Power BI; Strong communication and presentation skills in Portuguese and English, both spoken and written.
Activities: Data mining, which refers to the application of statistics in the form of exploratory data analysis to reveal patterns and trends in data from existing data sources; Identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team in the development of data products; Transform data into a useful format for analysis, managing the source, structure, quality, storage, and accessibility of the data so that it can be queried and analyzed by other analysts and engineers; Maintain pipelines and its affected schemas in support of high volume, complex data transactions for specific services or groups of services; Analyze and present data in a summarized and visually appealing way has become part of almost every business analyst and data scientist role; Keep strong communication with project managers, SW developers, calibration engineers, test engineers, and simulation engineers; Participate in global Communities of Practices; Manage tasks following agile principles.
Perguntas e respostas sobre a vaga
- Aceita candidatos de onde?
- Aceita candidatos do Brasil.
- Qual o regime de contratação?
- A vaga não diz.
- É remota?
- Não, é presencial.
- Informa salário?
- Não, a vaga não divulga.
Nenhuma vaga séria cobra para você se candidatar, e eu nunca peço dado bancário dentro de uma candidatura. O plano pago é cobrado só pelo Asaas, meu parceiro de pagamento.
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