Descripción del puesto

👩🏽‍💻🙌🏼We are looking for experienced Data Engineering Python Developers who are eager to build something ambitious using language models (LLM) with interest in working in a high-growth and potential industry (AI) and building digital products in startup environment. If you want to join Teramot, a startup focused on transforming data management through an AI-driven data-engineer agent, this opportunity is for you!

📍Full time - hybrid mode - Rosario, Santa Fe

What you will be doing:
✅ Design, develop, and deploy automated data solutions using AWS SDK for Python, focusing on services such as AWS Glue, Lake Formation and Athena, as well as additional AWS services like Amazon S3 for data storage, and AWS Lambda for serverless computing.
✅ Implement and maintain robust data pipelines and architectures, ensuring they meet business requirements and performance metrics.
✅ Adhere to best practices in code quality, including implementing CI/CD pipelines, version control, and automated testing to ensure scalability and reliability of data operations.
✅ Monitor and optimize the performance of data pipelines and architectures to ensure efficient data processing and storage.
✅ Manage AWS resources effectively, ensuring security best practices and maintaining measured and bounded costs throughout the project lifecycle.

Requisitos

What you should have:
🎯+3 years of proven experience as a Python Developer with a strong background in data engineering focusing on the design, development, and deployment of automated data solutions on AWS infrastructure and services (AWS Glue, Lake Formation and Athena)
🎯Demonstrated ability in deploying production-level code, with experience in CI/CD, version control, and automated testing frameworks
🎯Bachelor's degree in computer systems engineering
🎯English language skills for technical reading

Beneficios

What we Offer:
⚡ USD Salary
⚡ A chance to be part of a cutting-edge technology startup
⚡ Opportunities for personal and professional growth
⚡ A collaborative and inclusive work environment