Scientific Data Engineer

Overview

Role involves developing and implementing data solutions for scientific applications.

Ideal candidate should have 7+ years of experience in data engineering with strong Python skills.

Locations

• Colombia
• Argentina
• Brazil
• Mexico

Requirements

• 7+ years experience
• Proficient in Python (Pandas/Numpy)
• Experience with ETL
• Knowledge of Relational Databases/SQL
• Familiarity with Message Oriented Systems
• Experience with Databricks
• Strong communication skills
• Proactive problem-solving skills

Responsibilities

• Own and implement customer solutions
• Research data acquisition strategies
• Design and build data models
• Build data pipelines and tests
• Create visualizations and reports
• Manage customer relationships
• Facilitate project post-mortems