Work on Python based ecosystems with ideally hexagonal architecture and DDD.
Use data platform to build high-performance, highly scalable data pipelines.
Connect with data algorithms implementations.
Collaborate with product manager and technical lead to guarantee technical feasibility.
Ensure solutions are scalable, maintainable, and accessible.
Contribute to quality of products through testing: unitary, integration, contract-testing, e2e, etc.

Requirements

More than 4 years of real, hands-on experience in SQL and Python based ecosystems.
Hands-on experience with PySpark.
Experience with ML frameworks in production.
Knowledge of foundational LLM models, fine-tuning, and prompt engineering.
Ability to work with multiple teams: internal and external team members, clients, and providers.
Professional-level Spanish required.
Ability to read and write in English needed.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLPySparkdata pipelinesML frameworksLLM modelsfine-tuningprompt engineeringDDDhexagonal architecture

Soft Skills

collaborationcommunicationteamworkproblem-solvingadaptabilityquality assurancetechnical feasibilityscalabilitymaintainabilityaccessibility