Senior Data Developer

Ciandt · Remoto · Remote Brazil

Recebendo candidaturas · conferida em 14/11

Ficha da vaga

Modelo
Remoto
Onde aceita
Aceita candidatos do Brasil
Senioridade
Sênior
Salário
Salário não divulgado

Fonte: Lever · Ver vaga original →

  • python
  • sql
  • cloud basico
  • analise dados
  • resolucao problemas
  • comunicacao

Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.

Sobre a vaga

CI&T is seeking a Senior Data Developer to design, build, and optimize scalable data solutions using modern technologies such as Databricks, Apache Spark, SQL, Python, and Azure.

O que você vai fazer

  • Design, develop, and maintain robust and scalable data pipelines using Databricks, Apache Spark, SQL, and Python or Scala.
  • Build solutions to process and transform large datasets efficiently.
  • Monitor and optimize existing data pipelines and workflows, improving performance, scalability, throughput, and reliability.
  • Collaborate with data scientists, analysts, engineers, and business stakeholders to understand data needs and translate them into effective technical solutions.
  • Implement data quality checks and governance practices to ensure data accuracy, consistency, and compliance.

O que pedem

  • Solid professional experience in Data Engineering, particularly designing and developing data pipelines.
  • Hands-on experience with Databricks and Apache Spark.
  • Strong knowledge of SQL and experience working with large datasets.
  • Proficiency in Python or Scala for data engineering.
  • Experience working with Microsoft Azure and cloud-based data solutions.

Descrição completa da vaga

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

We are looking for a Data Engineer to join our team and help design, build, and optimize scalable data solutions. In this role, you will work with modern data technologies such as Databricks, Apache Spark, SQL, Python, and Azure, collaborating with technical teams and business stakeholders to transform large volumes of data into reliable and efficient solutions. Your responsibilities Design, develop, and maintain robust and scalable data pipelines using Databricks, Apache Spark, SQL, and Python or Scala. Build solutions to process and transform large datasets efficiently. Monitor and optimize existing data pipelines and workflows, improving performance, scalability, throughput, and reliability. Collaborate with data scientists, analysts, engineers, and business stakeholders to understand data needs and translate them into effective technical solutions. Implement data quality checks and governance practices to ensure data accuracy, consistency, and compliance. Troubleshoot complex data and pipeline issues, identifying root causes and proposing sustainable solutions. Maintain clear technical documentation and contribute to engineering standards and best practices across the team. What we are looking for Solid professional experience in Data Engineering, particularly designing and developing data pipelines. Hands-on experience with Databricks and Apache Spark. Strong knowledge of SQL and experience working with large datasets. Proficiency in Python or Scala for data engineering. Experience working with Microsoft Azure and cloud-based data solutions. Strong analytical and problem-solving skills, including the ability to troubleshoot complex data issues. Excellent communication skills in English and Portuguese, with confidence working in collaborative environments and interacting with clients and stakeholders. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. #Midsenior #Li-mg04

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?
Sim, é remota.
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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