Mid-Level Data Engineering Analyst - Remote

Overview

We are looking for a Mid-Level Data Engineering Analyst to develop, operationalize, and maintain score models focused on credit and risk products. This professional will be responsible for transforming data into scalable analytical solutions, ensuring quality, performance, and reliability of the models in production.

In Short

• Develop and maintain score models in a production environment.
• Implement efficient and secure data pipelines to feed the models.
• Collaborate with product, architecture, and data science teams to ensure business-aligned deliveries.
• Monitor and fix incidents related to model operations.
• Participate in the team's agile routines (Daily, Planning, Review, etc.).
• Document processes and technical solutions clearly and accessibly.

Requirements

• Previous experience in data engineering and analytical model development.
• Knowledge in Cloud AQW.
• Proficiency in Python and SQL.
• Desirable knowledge in AWS EMR, Airflow, Scala, and Java.
• Familiarity with MLOps practices and deploying models in production.
• Ability to work collaboratively in multidisciplinary teams.
• Analytical, proactive, and results-oriented mindset.

Benefits

• Inclusive and diverse work culture.
• Recognition as one of the best places to work in the country.
• Opportunities for personal and professional growth.
• Strong focus on employee well-being.