Resumo da vaga

Data Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Responsibilities:

  • Design and implement scalable ETL processes
  • Own the technical architecture, design, and implementation of the data platform
  • Collaborate with stakeholders and engineering leaders on the data platform roadmap
  • Provide technical guidance and best practices to leadership
  • Support and build backend components that enable stable and efficient data operations

Requirements:

  • 5+ years working as aData Engineer(mandatory; analysis roles do not count)
  • 4+ years of complex SQL transformations and optimization
  • Hands-on experience with DBT and Airflow
  • Strong Python scripting knowledge
  • Hands-on experience with AWS
  • Modern Data Warehouse concepts and Big Data modeling experience
  • Experience with DuckDB, pandas, or Jupyter Notebook is a plus
  • Spark experience (Batch/Streaming), Spark SQL or PySpark
  • Professional experience using Python with Django
  • Experience with Celery for asynchronous tasks
  • Experience with Redis for caching
  • Experience with RabbitMQ for message queues and event-driven workflows
  • Experience with PostgreSQL as the primary database
  • Experience with MongoDB for metadata and indexing
  • Experience implementing Elasticsearch as the main search engine
  • Strong English communication skills – minimumB2level
  • Send your application and CV inEnglish (mandatory)
  • Based in Latin America

Benefits:

  • Remote work
  • Flexible schedule
  • Collaboration with international clients
  • USD compensation
  • Paid Holidays and Vacations
  • Paid family and sick leaves
  • English classes
  • Educational and wellness bonus
  • Structured career plan with regular salary reviews
  • Emphasis on personal growth and mentorship
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Ver stack
FocoData EngineeringÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackAWS, MongoDB, PostgreSQLSkills principais
Localização24 países aceitosElegibilidade

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