Data engineer proficient

Requirements
Must have:
· At least 3 YOE as a Data Engineer developing data pipeline services using Python and AWS tolos
· Deep proficiency in Python, including libraries such as Pandas, NumPy, Seaborn, Matplotlib, and FastAPI
· Strong experience working with SQL (technical test required)
· Experience handling semi-structured files such as JSON and YAML
· Hands-on experience with API management including request handling and authentication
· Solid experience working in AWS environments, including AWS CLI and AWS SDK (S3, Parameters Store, Secrets Manager, Lambda, EC2)
· Experience with containerization and infrastructure automation using Docker and Terraform
Nice to have:
· Familiarity with data orchestration and workflow tools
· Exposure to data governance and security practices in cloud environments
· Experience working in agile teams and collaborative environments
Responsibilities
· Design and develop scalable data pipeline services using Python and AWS tools
· Implement data manipulation and analysis workflows using Python libraries
· Manage and integrate APIs securely and efficiently
· Configure and maintain AWS services for data engineering tasks
· Handle semi-structured data formats and ensure proper parsing and transformation
· Use Docker and Terraform for deployment and infrastructure automation
· Participate in code reviews, testing, and continuous integration processes
· Document technical processes and contribute to ongoing improvements
Required Languages
· English: Advanced (80–95%)
Location
· Colombia, Remote

Profesional

Universitaria

Ingeniería de sistemas Computación

3 años de experiencia

1 Vacante