Credit Analytics Engineer: Build Scalable Data Pipelines

Quona Capital; Ciudad de México; Híbrido; MXN 693.962 - 1.040.943; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary based on performance and experience

15 days of paid vacation

Medical insurance

Sponsored coaching and therapy sessions

Descripción de la vacante

Klar in Mexico City is seeking a Data Engineer to build and optimize data pipelines and maintain data models. You will collaborate with Analytics Engineers and Data Scientists, ensuring data integrity and reliability.

The ideal candidate has a Bachelor's degree in a relevant field, at least 3 years of SQL experience, and is proficient in Python. The role offers a hybrid work model, and benefits including competitive salary, vacation days, and medical insurance.

Formación

• 3+ years of experience working with SQL.
• 2+ years of experience with Python.
• Experience building or maintaining data pipelines and data models.

Responsabilidades

• Develop and maintain scalable data pipelines using dbt and Amazon Redshift.
• Optimize data models focused on analytics and reporting.
• Ensure high data integrity through validation processes.

Conocimientos

SQL

Python

Analytical thinking

Stakeholder management

Educación

Bachelor’s degree in Engineering, Computer Science, Mathematics, Physics, Statistics, or a related analytical field

Herramientas

dbt

Amazon Redshift

MageAI

Descripción del empleo

Klar in Mexico City is seeking a Data Engineer to build and optimize data pipelines and maintain data models. You will collaborate with Analytics Engineers and Data Scientists, ensuring data integrity and reliability.

The ideal candidate has a Bachelor's degree in a relevant field, at least 3 years of SQL experience, and is proficient in Python. The role offers a hybrid work model, and benefits including competitive salary, vacation days, and medical insurance.