Remote Senior Data Engineer - Credit Risk Data Platforms

Turtle Trax S.A.; Región Centro; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Turtle Trax S.A. seeks an experienced data engineer to design, develop, test, and maintain scalable data pipelines and data products supporting enterprise risk initiatives.

You will build batch and real-time data processing solutions using modern cloud and lakehouse technologies, collaborating across Risk, Product, Data Science, and Engineering teams to deliver reliable, scalable data platforms.

Formación

• Strong experience building enterprise-scale data engineering solutions.
• Hands-on with Databricks, Spark, PySpark, Hadoop, SQL, Python.
• Experience ETL/ELT pipelines and large-scale data processing.
• Cloud data platforms and storage technologies.
• Data modeling concepts and analytical data structures.
• Automated testing, monitoring, and data quality practices.
• Knowledge of Parquet/ORC/Avro formats.
• CI/CD and DevOps practices.

Responsabilidades

• Design, develop, test, and maintain scalable data pipelines and data products.
• Build batch and real-time data processing solutions in cloud and lakehouse stacks.
• Collaborate with Risk, Product, Data Science, and Eng teams to translate requirements.
• Develop reusable frameworks and engineering patterns for consistency.
• Implement data quality controls, monitoring, and observability.

Conocimientos

Databricks

Apache Spark

PySpark

SQL

Python

Delta Lake

Airflow

GitHub

Educación

Bachelor's degree in Computer Science or related STEM field

Herramientas

Azure Data Services

Data Factory

Kafka

CI/CD tooling

Descripción del empleo

Turtle Trax S.A. seeks an experienced data engineer to design, develop, test, and maintain scalable data pipelines and data products supporting enterprise risk initiatives.

You will build batch and real-time data processing solutions using modern cloud and lakehouse technologies, collaborating across Risk, Product, Data Science, and Engineering teams to deliver reliable, scalable data platforms.