We are seeking a highly skilled data engineer to lead our data ingestion and transformation infrastructure.
key responsibilities:
* create scalable data pipelines to stream relevant data into analytics, client, and ai applications.
* implement and automate infrastructure to facilitate data science development, including ci/cd, model health monitoring, automated triggers, model registry, and feature stores.
* manage machine learning pipelines across the entire mlops process, from training models to deploying business ml solutions into production.
* apply best practices in software engineering to machine learning workflows, including automation, monitoring, and scaling solutions.
* collaborate with infrastructure as code (iac).
required skills & experience:
* 4+ years of experience in data engineering.
* proficiency in microsoft azure data factory.
* advanced level of english.
* proven ability to work proactively and collaboratively in a team environment.
* strong sense of responsibility, empathy, and commitment.
benefits:
* remote work opportunity.
* schedule: monday to friday, 09:00 - 18:00.
* location: mexico city, guadalajara, coahuila, or monterrey.