Data Engineer Mexico
Core
Build robust data pipelines, data lakes, and warehousing solutions to support AI/ML workflows and business intelligence within the Databricks ecosystem.
Role type
Data Engineer (AI/ML focus)
Builds
Scalable data pipelines, feature engineering datasets, and production-ready AI solutions
Domain
Data Engineering / AI/ML / Databricks
Deliverable
production ML models
Required skills
Python, Scala, Java, Databricks, Apache Spark, Delta Lake, ETL, data warehousing, MLOps
Preferred skills
AWS, Azure, GCP, TensorFlow, Pytorch, Scikit-learn, Databricks certification
Technologies
Databricks, Apache Spark, Delta Lake, TensorFlow, PyTorch, Scikit-learn
Responsibilities
Architect and maintain scalable data pipelines for AI/ML workflows; Design and implement data lakes and warehousing solutions; Partner with data scientists to deploy ML models; Enhance Databricks cluster performance and cost-effectiveness; Implement Databricks security features and data governance; Collaborate on MLOps integration for model operationalization.
Seniority
Mid-level, hands-on IC
