[Job-7832] Data Engineer Mid-Level
Brazil
CI&T is a digital specialist, partner in end-to-end digital transformation. As digital natives, we bring a 26-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of more than 5.000 professionals in strategy, research, data science, design and engineering, we unlock top-line growth, improve customer experience and drive operational efficiency.
Você será responsável por:
- Implementar pipelines de extração, transformação e carga de dados.- Modelagem de Dados em data lake utilizando infraestrutura e arquitetura cloud.- Preparação, Limpeza, Aplicação de Políticas de Proteção de Dados.- Definir processos e política de governança de dados.
Você precisa ter:
- Experiência em desenvolvimento com linguagem Python.- Experiência com utilização com framework pySpark e Spark.- Experiência com a utilização de orquestradores de pipelines como Azure DataFactory.- Experiência com a criação de notebooks para processamento de dados utilizando Databricks.- Experiência com Azure Cloud.- Experiência com ferramentas de versionamento de código (Git).- Experiência com banco de dados NoSQL (exemplo: MongoDB).
Você vai se destacar se tiver:
- Inglês Avançado para conversação.- Interesse e conhecimento em boas práticas de desenvolvimento de software aplicadas à engenharia de dados (testes unitários, qualidade, análise estática, etc).- Experiência em SQL (SnowFlake).- Experiência em criar automatização de relatórios e em desenvolver dashboards.- Experiência em trabalhar com metodologias ágeis.
#LI-MO#MidSenior#LI-REMOTECI&T is an equal opportunity employer. We celebrate and appreciate the diversity of our CI&Ters’ identities and lived experiences. We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow.
At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas. We strongly encourage Black, Indigenous, and People of Color (BIPOC), immigrants, candidates with a disability, women, and LGBTQIA+ candidates to apply to our vacancies.
Você será responsável por:
- Implementar pipelines de extração, transformação e carga de dados.- Modelagem de Dados em data lake utilizando infraestrutura e arquitetura cloud.- Preparação, Limpeza, Aplicação de Políticas de Proteção de Dados.- Definir processos e política de governança de dados.
Você precisa ter:
- Experiência em desenvolvimento com linguagem Python.- Experiência com utilização com framework pySpark e Spark.- Experiência com a utilização de orquestradores de pipelines como Azure DataFactory.- Experiência com a criação de notebooks para processamento de dados utilizando Databricks.- Experiência com Azure Cloud.- Experiência com ferramentas de versionamento de código (Git).- Experiência com banco de dados NoSQL (exemplo: MongoDB).
Você vai se destacar se tiver:
- Inglês Avançado para conversação.- Interesse e conhecimento em boas práticas de desenvolvimento de software aplicadas à engenharia de dados (testes unitários, qualidade, análise estática, etc).- Experiência em SQL (SnowFlake).- Experiência em criar automatização de relatórios e em desenvolver dashboards.- Experiência em trabalhar com metodologias ágeis.
#LI-MO#MidSenior#LI-REMOTECI&T is an equal opportunity employer. We celebrate and appreciate the diversity of our CI&Ters’ identities and lived experiences. We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow.
At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas. We strongly encourage Black, Indigenous, and People of Color (BIPOC), immigrants, candidates with a disability, women, and LGBTQIA+ candidates to apply to our vacancies.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Databricks Engineering Git MongoDB NoSQL Pipelines PySpark Python Research Snowflake Spark SQL
Regions:
Remote/Anywhere
South America
Country:
Brazil
Job stats:
4
1
0
Category:
Engineering Jobs
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