Remotebase

Data Engineer

Remotebase

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇧🇷 Brazil

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerETLGoogle Cloud PlatformJenkinsKubernetesPythonSQLTerraform

About the role

  • Publicar Vaga Afiliados ❌ Vagas que Você Ocultou ⭐️ Vagas Salvas ✅ Vagas Candidatadas Conta Remotebase Site LinkedIn Todas as Vagas React.js
  • Node.js
  • Desenvolvimento JavaScript
  • Desenvolvimento mobile
  • Desenvolvimento web A Remotebase é uma plataforma que conecta empresas a desenvolvedores de software de elite, previamente avaliados, em todo o mundo. A empresa oferece uma base diversificada de profissionais com habilidades em áreas como Python, JavaScript, IA, visão computacional e mais, rigorosamente avaliados quanto à expertise e à confiabilidade. A Remotebase otimiza o processo de contratação ao apresentar uma seleção criteriosa de candidatos, permitindo que as empresas economizem tempo e foquem nas necessidades críticas do projeto. A plataforma facilita encontrar e contratar talentos de ponta para iniciativas de tecnologia por meio de um processo simples em três etapas: compartilhar as necessidades, fazer o matching com desenvolvedores e conduzir entrevistas para escolher a melhor opção. 51 - 200 funcionários Fundada em 2020 👥 RH Tech 🎯 Recrutamento ☁️ SaaS Data Engineer 19 minutos atrás 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados AWS Azure Cloud Docker ETL Google Cloud Platform Jenkins Kubernetes Python SQL Terraform Candidatar-se Check Resume Score ☆ Salvar ☑️ Marcar como candidatado ❌ Ocultar Reportar problema Descrição
  • Design, build, and maintain scalable and resilient CI/CD pipelines for data applications and infrastructure, with a focus on Snowflake, dbt, and related data tools.
  • Implement and manage Snowflake dbt projects for data transformation, including developing dbt models, tests, and documentation, and integrating dbt into CI/CD workflows.
  • Develop and manage infrastructure as code (IaC) using Terraform to provision and configure cloud resources for data storage, processing, and analytics on GCP.
  • Automate the deployment, monitoring, and management of Snowflake data warehouse environments, ensuring optimal performance, security, and cost-effectiveness.
  • Collaborate with data engineers and data scientists to understand their requirements and provide robust, automated solutions for data ingestion, processing, and delivery.
  • Implement and manage monitoring, logging, and alerting systems for data pipelines and infrastructure to ensure high availability and proactive issue resolution.
  • Develop and maintain robust automation scripts and tools, primarily using Python, to streamline operational tasks, manage data pipelines, and improve efficiency; Bash scripting for system-level tasks is also required.
  • Ensure security best practices are implemented and maintained across the data infrastructure and pipelines.
  • Troubleshoot and resolve issues related to data infrastructure, pipelines, and deployments in a timely manner.
  • Participate in code reviews for infrastructure code, dbt models, and automation scripts.
  • Document system architectures, configurations, and operational procedures.
  • Stay current with emerging DevOps technologies, data engineering tools, and cloud best practices, particularly related to Snowflake, dbt, and Terraform.
  • Optimize data pipelines for performance, scalability, and cost.
  • Support and contribute to data governance and data quality initiatives from an operational perspective.
  • Help implement AI features 🎯 Requisitos
  • Bachelor's degree in Computer Science, Engineering, or a related technical field expertise which is equivalent.
  • 5+ years of hands-on experience in a DevOps, SRE, or infrastructure engineering role.
  • 3+ years of experience specifically focused on automating and managing data infrastructure and pipelines.
  • 1+ years of experience enabling AI features
  • **Others:**
  • Strong, demonstrable experience with Infrastructure as Code tools, particularly Terraform.
  • Strong background in DevOps principles and practices, and hands-on experience in building business intelligence solutions.
  • Highly experienced in automation, and problem-solving skills with proficiency in cloud technologies.
  • Ability to collaborate effectively with data engineers, analysts, and other stakeholders to ensure the reliability and performance of our data ecosystem.
  • Proven experience with dbt for data transformation, including developing models, tests, and managing dbt projects in a production environment.
  • Hands-on experience managing and optimizing Snowflake data warehouse environments.
  • Demonstrable experience with data modeling techniques for ODS, dimensional modeling (Facts, Dimensions), and semantic models for analytics and BI.
  • Strong proficiency in Python for automation, scripting, and data-related tasks. Experience with relevant Python libraries is a plus. Strong Bash scripting.
  • Solid understanding of CI/CD principles and tools (e.g., Bitbucket Runners, Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
  • Experience with cloud platforms (GCP preferred, AWS, or Azure) and their data services.
  • Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Knowledge of data integration tools and ETL/ELT concepts.
  • Familiarity with monitoring and logging tools.
  • Strong SQL skills.
  • Ability to work independently and as part of a collaborative team in an agile environment.
  • Strong communication skills, with the ability to explain complex technical concepts clearly. 🏖️ Benefícios
  • Fully remote with office optional. You decide when you would like to work from home and when from the office.
  • Flexible timings. You decide your work scheduled.
  • Market competitive compensation (in $$).
  • Insane learning and growth Candidatar-se 📊 Pontuação do Currículo Envie seu currículo para ver se ele passa pelas ferramentas de rejeição automática usadas por recrutadores Check Resume Score Vagas Similares Engenheiro de Dados GCP Sênior 13 horas atrás Leega 201 - 500 Site LinkedIn Todas as Vagas Projetar e manter pipelines de dados em GCP/AWS para a Leega Consultoria. Construir modelos de dados, processos ETL/ELT e garantir governança para análises. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados AWS Cloud ETL Google Cloud Platform NoSQL SQL Tableau Engenheiro de Dados Sênior (SAS e GCP) 13 horas atrás Leega 201 - 500 Site LinkedIn Todas as Vagas Engenheiro de Dados Sênior liderando migrações de SAS para GCP na Leega, consultoria de analytics. Projetar modelos no BigQuery, construir pipelines ETL e otimizar infraestrutura em nuvem. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados Apache BigQuery Cloud ETL Google Cloud Platform Hadoop Java PySpark Python Scala Shell Scripting Spark SQL Terraform Engenheiro de Dados 15 horas atrás FCamara Consulting & Training 1001 - 5000 Site LinkedIn Todas as Vagas Engenheiro de Dados construindo e mantendo infraestrutura de dados no GCP para a maior construtora do Brasil. Responsável por ETL, BigQuery, modelagem de dados e CI/CD. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados BigQuery Cloud ETL Google Cloud Platform Python Spark SQL SSIS Terraform Engenheiro de Dados 15 horas atrás FCamara Consulting & Training 1001 - 5000 Site LinkedIn Todas as Vagas Construir e manter pipelines de dados e data lakes baseados em GCP para uma importante empresa de construção da América Latina. Garantir qualidade dos dados, segurança (LGPD) e CI/CD dos produtos analíticos. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados BigQuery Cloud ETL Google Cloud Platform Python Spark SQL SSIS Terraform Engenheiro de Dados e/ou Arquiteto de Dados 16 horas atrás Logiks TI 201 - 500 Site LinkedIn Todas as Vagas Construir e manter Data Lakes AWS, pipelines de ETL e arquiteturas de Data Warehouse para consultoria de TI brasileira. Utilizar Python/PySpark, Airflow e serviços analíticos da AWS (S3, Redshift, Glue, Athena). 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados Airflow Amazon Redshift AWS Cloud PySpark Python Ver Mais Vagas de Engenheiro de Dados Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com Buscar Buscar vagas por cargo Buscar vagas por stack tecnológico Vagas remotas tempo-integral Vagas remotas meio-periodo Vagas remotas contrato-temporario Vagas remotas estagio Vagas Populares Vagas remotas de analista de dados Vagas remotas de DevOps Vagas remotas de assistente executivo Vagas remotas de designer de produto Vagas remotas de engenheiro de QA Vagas remotas de recrutador Vagas remotas de vendas Vagas remotas de SDR Vagas remotas de engenheiro de software Vagas remotas de pesquisador UX Recursos Publicar vaga Afiliados Política de privacidade e termos de serviço

Requirements

  • Publicar Vaga Afiliados ❌ Vagas que Você Ocultou ⭐️ Vagas Salvas ✅ Vagas Candidatadas Conta Remotebase Site LinkedIn Todas as Vagas React.js
  • Node.js
  • Desenvolvimento JavaScript
  • Desenvolvimento mobile
  • Desenvolvimento web A Remotebase é uma plataforma que conecta empresas a desenvolvedores de software de elite, previamente avaliados, em todo o mundo. A empresa oferece uma base diversificada de profissionais com habilidades em áreas como Python, JavaScript, IA, visão computacional e mais, rigorosamente avaliados quanto à expertise e à confiabilidade. A Remotebase otimiza o processo de contratação ao apresentar uma seleção criteriosa de candidatos, permitindo que as empresas economizem tempo e foquem nas necessidades críticas do projeto. A plataforma facilita encontrar e contratar talentos de ponta para iniciativas de tecnologia por meio de um processo simples em três etapas: compartilhar as necessidades, fazer o matching com desenvolvedores e conduzir entrevistas para escolher a melhor opção. 51 - 200 funcionários Fundada em 2020 👥 RH Tech 🎯 Recrutamento ☁️ SaaS Data Engineer 19 minutos atrás 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados AWS Azure Cloud Docker ETL Google Cloud Platform Jenkins Kubernetes Python SQL Terraform Candidatar-se Check Resume Score ☆ Salvar ☑️ Marcar como candidatado ❌ Ocultar Reportar problema Descrição
  • Design, build, and maintain scalable and resilient CI/CD pipelines for data applications and infrastructure, with a focus on Snowflake, dbt, and related data tools.
  • Implement and manage Snowflake dbt projects for data transformation, including developing dbt models, tests, and documentation, and integrating dbt into CI/CD workflows.
  • Develop and manage infrastructure as code (IaC) using Terraform to provision and configure cloud resources for data storage, processing, and analytics on GCP.
  • Automate the deployment, monitoring, and management of Snowflake data warehouse environments, ensuring optimal performance, security, and cost-effectiveness.
  • Collaborate with data engineers and data scientists to understand their requirements and provide robust, automated solutions for data ingestion, processing, and delivery.
  • Implement and manage monitoring, logging, and alerting systems for data pipelines and infrastructure to ensure high availability and proactive issue resolution.
  • Develop and maintain robust automation scripts and tools, primarily using Python, to streamline operational tasks, manage data pipelines, and improve efficiency; Bash scripting for system-level tasks is also required.
  • Ensure security best practices are implemented and maintained across the data infrastructure and pipelines.
  • Troubleshoot and resolve issues related to data infrastructure, pipelines, and deployments in a timely manner.
  • Participate in code reviews for infrastructure code, dbt models, and automation scripts.
  • Document system architectures, configurations, and operational procedures.
  • Stay current with emerging DevOps technologies, data engineering tools, and cloud best practices, particularly related to Snowflake, dbt, and Terraform.
  • Optimize data pipelines for performance, scalability, and cost.
  • Support and contribute to data governance and data quality initiatives from an operational perspective.
  • Help implement AI features 🎯 Requisitos
  • Bachelor's degree in Computer Science, Engineering, or a related technical field expertise which is equivalent.
  • 5+ years of hands-on experience in a DevOps, SRE, or infrastructure engineering role.
  • 3+ years of experience specifically focused on automating and managing data infrastructure and pipelines.
  • 1+ years of experience enabling AI features
  • **Others:**
  • Strong, demonstrable experience with Infrastructure as Code tools, particularly Terraform.
  • Strong background in DevOps principles and practices, and hands-on experience in building business intelligence solutions.
  • Highly experienced in automation, and problem-solving skills with proficiency in cloud technologies.
  • Ability to collaborate effectively with data engineers, analysts, and other stakeholders to ensure the reliability and performance of our data ecosystem.
  • Proven experience with dbt for data transformation, including developing models, tests, and managing dbt projects in a production environment.
  • Hands-on experience managing and optimizing Snowflake data warehouse environments.
  • Demonstrable experience with data modeling techniques for ODS, dimensional modeling (Facts, Dimensions), and semantic models for analytics and BI.
  • Strong proficiency in Python for automation, scripting, and data-related tasks. Experience with relevant Python libraries is a plus. Strong Bash scripting.
  • Solid understanding of CI/CD principles and tools (e.g., Bitbucket Runners, Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
  • Experience with cloud platforms (GCP preferred, AWS, or Azure) and their data services.
  • Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Knowledge of data integration tools and ETL/ELT concepts.
  • Familiarity with monitoring and logging tools.
  • Strong SQL skills.
  • Ability to work independently and as part of a collaborative team in an agile environment.
  • Strong communication skills, with the ability to explain complex technical concepts clearly. 🏖️ Benefícios
  • Fully remote with office optional. You decide when you would like to work from home and when from the office.
  • Flexible timings. You decide your work scheduled.
  • Market competitive compensation (in $$).
  • Insane learning and growth Candidatar-se 📊 Pontuação do Currículo Envie seu currículo para ver se ele passa pelas ferramentas de rejeição automática usadas por recrutadores Check Resume Score Vagas Similares Engenheiro de Dados GCP Sênior 13 horas atrás Leega 201 - 500 Site LinkedIn Todas as Vagas Projetar e manter pipelines de dados em GCP/AWS para a Leega Consultoria. Construir modelos de dados, processos ETL/ELT e garantir governança para análises. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados AWS Cloud ETL Google Cloud Platform NoSQL SQL Tableau Engenheiro de Dados Sênior (SAS e GCP) 13 horas atrás Leega 201 - 500 Site LinkedIn Todas as Vagas Engenheiro de Dados Sênior liderando migrações de SAS para GCP na Leega, consultoria de analytics. Projetar modelos no BigQuery, construir pipelines ETL e otimizar infraestrutura em nuvem. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados Apache BigQuery Cloud ETL Google Cloud Platform Hadoop Java PySpark Python Scala Shell Scripting Spark SQL Terraform Engenheiro de Dados 15 horas atrás FCamara Consulting & Training 1001 - 5000 Site LinkedIn Todas as Vagas Engenheiro de Dados construindo e mantendo infraestrutura de dados no GCP para a maior construtora do Brasil. Responsável por ETL, BigQuery, modelagem de dados e CI/CD. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados BigQuery Cloud ETL Google Cloud Platform Python Spark SQL SSIS Terraform Engenheiro de Dados 15 horas atrás FCamara Consulting & Training 1001 - 5000 Site LinkedIn Todas as Vagas Construir e manter pipelines de dados e data lakes baseados em GCP para uma importante empresa de construção da América Latina. Garantir qualidade dos dados, segurança (LGPD) e CI/CD dos produtos analíticos. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados BigQuery Cloud ETL Google Cloud Platform Python Spark SQL SSIS Terraform Engenheiro de Dados e/ou Arquiteto de Dados 16 horas atrás Logiks TI 201 - 500 Site LinkedIn Todas as Vagas Construir e manter Data Lakes AWS, pipelines de ETL e arquiteturas de Data Warehouse para consultoria de TI brasileira. Utilizar Python/PySpark, Airflow e serviços analíticos da AWS (S3, Redshift, Glue, Athena). 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados Airflow Amazon Redshift AWS Cloud PySpark Python Ver Mais Vagas de Engenheiro de Dados Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com Buscar Buscar vagas por cargo Buscar vagas por stack tecnológico Vagas remotas tempo-integral Vagas remotas meio-periodo Vagas remotas contrato-temporario Vagas remotas estagio Vagas Populares Vagas remotas de analista de dados Vagas remotas de DevOps Vagas remotas de assistente executivo Vagas remotas de designer de produto Vagas remotas de engenheiro de QA Vagas remotas de recrutador Vagas remotas de vendas Vagas remotas de SDR Vagas remotas de engenheiro de software Vagas remotas de pesquisador UX Recursos Publicar vaga Afiliados Política de privacidade e termos de serviço
Benefits
  • Publicar Vaga Afiliados ❌ Vagas que Você Ocultou ⭐️ Vagas Salvas ✅ Vagas Candidatadas Conta Remotebase Site LinkedIn Todas as Vagas React.js
  • Node.js
  • Desenvolvimento JavaScript
  • Desenvolvimento mobile
  • Desenvolvimento web A Remotebase é uma plataforma que conecta empresas a desenvolvedores de software de elite, previamente avaliados, em todo o mundo. A empresa oferece uma base diversificada de profissionais com habilidades em áreas como Python, JavaScript, IA, visão computacional e mais, rigorosamente avaliados quanto à expertise e à confiabilidade. A Remotebase otimiza o processo de contratação ao apresentar uma seleção criteriosa de candidatos, permitindo que as empresas economizem tempo e foquem nas necessidades críticas do projeto. A plataforma facilita encontrar e contratar talentos de ponta para iniciativas de tecnologia por meio de um processo simples em três etapas: compartilhar as necessidades, fazer o matching com desenvolvedores e conduzir entrevistas para escolher a melhor opção. 51 - 200 funcionários Fundada em 2020 👥 RH Tech 🎯 Recrutamento ☁️ SaaS Data Engineer 19 minutos atrás 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados AWS Azure Cloud Docker ETL Google Cloud Platform Jenkins Kubernetes Python SQL Terraform Candidatar-se Check Resume Score ☆ Salvar ☑️ Marcar como candidatado ❌ Ocultar Reportar problema Descrição
  • Design, build, and maintain scalable and resilient CI/CD pipelines for data applications and infrastructure, with a focus on Snowflake, dbt, and related data tools.
  • Implement and manage Snowflake dbt projects for data transformation, including developing dbt models, tests, and documentation, and integrating dbt into CI/CD workflows.
  • Develop and manage infrastructure as code (IaC) using Terraform to provision and configure cloud resources for data storage, processing, and analytics on GCP.
  • Automate the deployment, monitoring, and management of Snowflake data warehouse environments, ensuring optimal performance, security, and cost-effectiveness.
  • Collaborate with data engineers and data scientists to understand their requirements and provide robust, automated solutions for data ingestion, processing, and delivery.
  • Implement and manage monitoring, logging, and alerting systems for data pipelines and infrastructure to ensure high availability and proactive issue resolution.
  • Develop and maintain robust automation scripts and tools, primarily using Python, to streamline operational tasks, manage data pipelines, and improve efficiency; Bash scripting for system-level tasks is also required.
  • Ensure security best practices are implemented and maintained across the data infrastructure and pipelines.
  • Troubleshoot and resolve issues related to data infrastructure, pipelines, and deployments in a timely manner.
  • Participate in code reviews for infrastructure code, dbt models, and automation scripts.
  • Document system architectures, configurations, and operational procedures.
  • Stay current with emerging DevOps technologies, data engineering tools, and cloud best practices, particularly related to Snowflake, dbt, and Terraform.
  • Optimize data pipelines for performance, scalability, and cost.
  • Support and contribute to data governance and data quality initiatives from an operational perspective.
  • Help implement AI features 🎯 Requisitos
  • Bachelor's degree in Computer Science, Engineering, or a related technical field expertise which is equivalent.
  • 5+ years of hands-on experience in a DevOps, SRE, or infrastructure engineering role.
  • 3+ years of experience specifically focused on automating and managing data infrastructure and pipelines.
  • 1+ years of experience enabling AI features
  • **Others:**
  • Strong, demonstrable experience with Infrastructure as Code tools, particularly Terraform.
  • Strong background in DevOps principles and practices, and hands-on experience in building business intelligence solutions.
  • Highly experienced in automation, and problem-solving skills with proficiency in cloud technologies.
  • Ability to collaborate effectively with data engineers, analysts, and other stakeholders to ensure the reliability and performance of our data ecosystem.
  • Proven experience with dbt for data transformation, including developing models, tests, and managing dbt projects in a production environment.
  • Hands-on experience managing and optimizing Snowflake data warehouse environments.
  • Demonstrable experience with data modeling techniques for ODS, dimensional modeling (Facts, Dimensions), and semantic models for analytics and BI.
  • Strong proficiency in Python for automation, scripting, and data-related tasks. Experience with relevant Python libraries is a plus. Strong Bash scripting.
  • Solid understanding of CI/CD principles and tools (e.g., Bitbucket Runners, Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
  • Experience with cloud platforms (GCP preferred, AWS, or Azure) and their data services.
  • Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Knowledge of data integration tools and ETL/ELT concepts.
  • Familiarity with monitoring and logging tools.
  • Strong SQL skills.
  • Ability to work independently and as part of a collaborative team in an agile environment.
  • Strong communication skills, with the ability to explain complex technical concepts clearly. 🏖️ Benefícios
  • Fully remote with office optional. You decide when you would like to work from home and when from the office.
  • Flexible timings. You decide your work scheduled.
  • Market competitive compensation (in $$).
  • Insane learning and growth Candidatar-se 📊 Pontuação do Currículo Envie seu currículo para ver se ele passa pelas ferramentas de rejeição automática usadas por recrutadores Check Resume Score Vagas Similares Engenheiro de Dados GCP Sênior 13 horas atrás Leega 201 - 500 Site LinkedIn Todas as Vagas Projetar e manter pipelines de dados em GCP/AWS para a Leega Consultoria. Construir modelos de dados, processos ETL/ELT e garantir governança para análises. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados AWS Cloud ETL Google Cloud Platform NoSQL SQL Tableau Engenheiro de Dados Sênior (SAS e GCP) 13 horas atrás Leega 201 - 500 Site LinkedIn Todas as Vagas Engenheiro de Dados Sênior liderando migrações de SAS para GCP na Leega, consultoria de analytics. Projetar modelos no BigQuery, construir pipelines ETL e otimizar infraestrutura em nuvem. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados Apache BigQuery Cloud ETL Google Cloud Platform Hadoop Java PySpark Python Scala Shell Scripting Spark SQL Terraform Engenheiro de Dados 15 horas atrás FCamara Consulting & Training 1001 - 5000 Site LinkedIn Todas as Vagas Engenheiro de Dados construindo e mantendo infraestrutura de dados no GCP para a maior construtora do Brasil. Responsável por ETL, BigQuery, modelagem de dados e CI/CD. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados BigQuery Cloud ETL Google Cloud Platform Python Spark SQL SSIS Terraform Engenheiro de Dados 15 horas atrás FCamara Consulting & Training 1001 - 5000 Site LinkedIn Todas as Vagas Construir e manter pipelines de dados e data lakes baseados em GCP para uma importante empresa de construção da América Latina. Garantir qualidade dos dados, segurança (LGPD) e CI/CD dos produtos analíticos. 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados BigQuery Cloud ETL Google Cloud Platform Python Spark SQL SSIS Terraform Engenheiro de Dados e/ou Arquiteto de Dados 16 horas atrás Logiks TI 201 - 500 Site LinkedIn Todas as Vagas Construir e manter Data Lakes AWS, pipelines de ETL e arquiteturas de Data Warehouse para consultoria de TI brasileira. Utilizar Python/PySpark, Airflow e serviços analíticos da AWS (S3, Redshift, Glue, Athena). 🇧🇷 Brasil – Remoto ⏰ Tempo Integral 🟡 Pleno 🟠 Sênior 🚰 Engenheiro de Dados Airflow Amazon Redshift AWS Cloud PySpark Python Ver Mais Vagas de Engenheiro de Dados Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com Buscar Buscar vagas por cargo Buscar vagas por stack tecnológico Vagas remotas tempo-integral Vagas remotas meio-periodo Vagas remotas contrato-temporario Vagas remotas estagio Vagas Populares Vagas remotas de analista de dados Vagas remotas de DevOps Vagas remotas de assistente executivo Vagas remotas de designer de produto Vagas remotas de engenheiro de QA Vagas remotas de recrutador Vagas remotas de vendas Vagas remotas de SDR Vagas remotas de engenheiro de software Vagas remotas de pesquisador UX Recursos Publicar vaga Afiliados Política de privacidade e termos de serviço

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLTerraformDockerKubernetesETLCI/CDSnowflakedbtBash scripting
Soft skills
problem-solvingcollaborationcommunicationautomationagile methodology
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineering
Leega

Engenheiro de Dados Pleno, GCP

Leega
Mid · Seniorcontract🇧🇷 Brazil
Posted: 14 hours agoSource: leega.gupy.io
AirflowBigQueryCloudGoogle Cloud PlatformPythonSQL
Leega

Engenheiro de Dados Sênior, GCP

Leega
Mid · Seniorfull-time🇧🇷 Brazil
Posted: 14 hours agoSource: leega.gupy.io
AWSCloudETLGoogle Cloud PlatformNoSQLSQLTableau
Leega

Engenheiro de Dados Sênior, SAS e GCP

Leega
Mid · Seniorfull-time🇧🇷 Brazil
Posted: 14 hours agoSource: leega.gupy.io
ApacheBigQueryCloudETLGoogle Cloud PlatformHadoopJavaPySparkPythonScalaShell ScriptingSpark+2 more
Nearform

Senior Data Engineer

Nearform
Seniorcontract🇧🇷 Brazil
Posted: 17 hours agoSource: boards.greenhouse.io
Amazon RedshiftApacheAWSBigQueryETLPythonSparkSQL