Data Engineer (Databricks)

📋 Description

• Design and build production data pipelines on Databricks and Lakeflow stacks.
• Architect Lakehouse solutions with Delta Lake, Unity Catalog, and medallion patterns.
• Develop DLT pipelines, PySpark notebooks, and dbt with data quality and CI/CD.
• Define data and AI foundations powering production ML and AI-enabled products.
• Collaborate with product/backend teams to model data and APIs for products.
• Consult with clients to understand data challenges and craft sustainable solutions.

🎯 Requirements

• 3-5 years data engineering, with 2+ years in production Databricks.
• Strong AWS and Azure knowledge; GCP familiarity a plus.
• Deep Databricks expertise: Lakeflow, Autoloader, Structured Streaming, Unity Catalog.
• Experience designing Lakehouse architectures and data modeling.
• SQL and Python proficiency; data quality and CI/CD experience.
• Excellent communication and problem solving; ability to work with diverse stakeholders.

🎁 Benefits

• Remote-friendly role with LATAM remote options.
• Opportunity to contribute to a growing Databricks practice.
• Collaborative culture with emphasis on learning and growth.
• Impactful projects across healthcare, fintech, and digital products.