Data Engineer Mexico

Overview

Hands-on Data Engineer role building the data foundations for analytics and AI, bridging raw data and production-ready AI solutions within the Databricks ecosystem.

What you'll do

• Architect, build and maintain scalable data pipelines to support AI/ML workflows, including feature engineering and model training datasets.
• Design and implement robust data pipelines, data lakes and data warehousing solutions.
• Partner with data scientists and analysts to deploy machine learning models and analytics solutions on Databricks.
• Enhance Databricks cluster performance, ensuring cost-effectiveness and efficient resource utilization.
• Implement Databricks security features, enforce data governance and maintain compliance with industry standards.
• Collaborate with data scientists to deploy and operationalize machine learning models into production environments securely.
• Contribute to the technical direction and best practices of data engineering initiatives.
• Stay current with Databricks innovations, best practices and industry trends, and share knowledge across the team.

What you'll need

• 1-4 years of total experience in data engineering or related fields.
• Solid experience with Databricks, focusing on platform engineering, data engineering and analytics.
• Proficiency in Python, Scala or Java.
• Strong experience with Databricks APIs, Apache Spark and Delta Lake.
• Solid experience in data warehousing, ETL processes and data governance frameworks.
• Practical experience supporting AI/ML lifecycles, including familiarity with ML frameworks (e.g., TensorFlow, PyTorch) or MLOps practices.
• Proven ability to work independently, take ownership of projects and collaborate effectively with a team.
• Excellent interpersonal and communication skills for effective collaboration with stakeholders.

Nice to have

• Hands-on experience with AWS, Azure or GCP.
• Databricks Certified Professional or equivalent certification.
• Familiarity with ML concepts and popular libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

Details

• Flexible schedule and remote working benefits.