Vaga de parceiro

Data Engineer - São Paulo / SP

Disponível para Assinantes
Salvar nos Favoritos
  • Compartilhe:

Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • 5k / month + PTO Working hours: 9am - 5pm EST Company location: Canada (remote) Candidates location: Latin America (LATAM) Please, upload your resume in ENGLISH.
  • About the company This company is at the forefront of applying Generative AI to marketing, sales, and communications, helping organizations unlock insights, drive automation, and enhance decision-making.
  • As a Data Engineer, you will design and maintain data pipelines, architectures, and workflows that power AI-driven applications.
  • You will work closely with AI specialists, engineers, and business teams to develop data frameworks that support AI applications across content creation, personalization, analytics, and automation.
  • Key Responsibilities Design and maintain efficient data pipelines for AI content generation and analytics.
  • Develop and optimize ETL processes from diverse sources for real-time insights and AI performance.
  • Build data science models to derive insights from AI content and customer data.
  • Implement systems for data-driven decisions in content strategy and customer engagement.
  • Manage cloud infrastructure (AWS) for AI applications and optimize data storage and processing.
  • Requirements 4 6 years of experience in data engineering or data science .
  • Strong programming skills in Python and SQL .
  • Experience building ETL pipelines and real-time data streaming ( Apache Airflow , Kafka, or similar tools).
  • Proficiency in AWS with expertise in serverless data processing and large-scale data storage.
  • Strong knowledge of database management (SQL, NoSQL, vector databases).
  • Experience building data crawlers and integrating external data sources into workflows.
  • Experience working with vector databases or orchestrating RAG (Retrieval-Augmented Generation) pipelines.
  • Nice to have Experience working with AI-driven applications, NLP, or machine learning pipelines.
  • Experience working with Docker in environments from AWS (ECR or EKS).
  • Experience with CI/CD pipelines.

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

Envie esta vaga para um amigo!

 

Cadastro Inicial

Preencha os campos abaixo
  • Ao criar uma conta, você aceita nossa Política de Privacidade e nosso Termo de Adesão
 

Acesse sua Conta

Preencha os campos abaixo

ou acesse com seu provedor
 

Recuperação de Dados de Acesso

Informe seu e-mail cadastrado