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Data Engineer
Rol remoto de Data Engineering con fit claro de ubicación del candidato.
Publicado23 jul 2026
Países elegibles24 países aceptados
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Resumen del rol
Data Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
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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