Halliburton
Brazil- Remote: Back-end Developer (Python) (Rio de Janeiro, RJ, BR, 291941)
Rol remoto de Backend Engineer con fit claro de ubicación del candidato.
Publicado22 jul 2026
Países elegibles1 país aceptado
Señal de seniorityMiddle
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Brasil
Resumen del rol
Brazil- Remote: Back-end Developer (Python) (Rio de Janeiro, RJ, BR, 291941)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- Develop and maintain backend services and REST APIs using Python frameworks (FastAPI, Flask, or Django)
- Design and implement microservices architecture and event-driven systems
- Work with relational databases (PostgreSQL) and NoSQL databases (Redis, MongoDB)
- Implement caching strategies and optimize application performance
- Develop and manage database schemas using SQLAlchemy and Alembic
- Implement pub/sub architecture using Kafka or RabbitMQ
- Deploy and manage containerized applications using Docker and Kubernetes
- Design and optimize data models for both relational and NoSQL databases
- Collaborate with cross-functional teams to deliver scalable, high-quality solutions
- Troubleshoot, debug, and resolve issues in production systems
- Stay current with trends in backend development, cloud technologies, and data engineering
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 5+ years of professional software development experience (preferred)
- Strong proficiency in Backend development
- Hands-on experience building REST APIs with FastAPI, Flask, or Django
- Practical experience with ORMs, preferably SQLAlchemy and Alembic for database management
- Experience with relational databases, particularly PostgreSQL
- Knowledge of NoSQL databases (Redis, MongoDB)
- Understanding of microservices and event-driven architecture
- Familiarity with Docker and containerization
- Strong understanding of data structures and data modeling
- Experience with cloud platforms (Azure, AWS, or Google Cloud)
- Proficiency with Git and version-control workflows
- Excellent analytical, debugging, and problem-solving skills
- Ability to work independently and collaboratively in a fast-paced environment
- Experience working in Agile/Scrum development environments
- Strong communication skills in English (written and verbal)
- Build and maintain data processing pipelines using modern data tools
- Knowledge of Medallion architecture and Delta Lake
- Experience with workflow orchestration tools (Airflow)
- Familiarity with object storage solutions (S3, Minio)
- Understanding data quality frameworks and data modeling for data lakes
- Experience with data streaming using Kafka
- Experience with WebSocket and real-time data streaming
- Knowledge of pub/sub patterns with Kafka or RabbitMQ
- Experience with Kubernetes orchestration in production environments
- Understanding of caching strategies and distributed systems
- Experience with data processing libraries (Pandas, Polars, Duck DB, Spark)
- Experience in the Oil & Gas industry
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