Technology
·
Multiple locations
·
Hybrid
Data Engineer
Shape the backbone of AI systems. As a Data Engineer, you’ll manage complex data workflows, handle large volumes, and implement pipelines that drive cutting-edge machine learning projects.
Want to work with the latest technologies on projects of Machine Learning?📉🚀🤖
🌟 What do we offer?
- Challenging projects
- Use state of the art machine learning algorithms and techniques
- Opportunity to join a growing startup with multiple professional development opportunities
- Work on stuff other people only read about
- Excellent work environment, full of highly motivated and talented young professionals.
- Opportunity to work on-site and remotely.
🧑🏻💻 Responsibilities:
- Willing to take ownership of data engineering pipelines of machine learning projects that includes state of the art solutions
- Participating in the research and design of new solutions and complex architectures
- Being proactive in proposing new tools, solutions and methodologies
- Working with tools like Kubernetes, Airflow, Pyspark, handling large data volumes in the cloud or edge
🤝 If you have:
- Over 3 years of relevant professional experience
- Knowledge of popular machine learning techniques and algorithms and data engineering tools
- Familiarity with relevant Data Engineering tools
- Advanced English
- Good communication skills, proactive and eager to take on new challenges and learn new things
- You are a team player and have good interpersonal skills
- Familiarity with scrum or agile methodologies
- Required: Python & AWS, Azure or GCP
- Department
- Technology
- Locations
- Mexico, Peru, Colombia, Argentina, Uruguay
- Remote status
- Hybrid