Remote AWS Data Engineer (Mexico) | Python & Airflow

Turtle Trax S.A.; Región Centro; Remote; MXN 500,000 - 900,000; Full time

Job summary

Turtle Trax S.A. is seeking a data pipeline engineer to design and maintain robust Python-based ETL processes in a remote setup for Mexico. The role focuses on building scalable data flows, integrating with cloud storage, and ensuring high data quality.

Responsibilities include developing reusable Python packages, orchestrating Airflow on AWS, and implementing tests with DBT. Strong SQL and cloud security awareness are expected.

Qualifications

• Advanced Python concepts including modules, classes and inheritance.
• Experience building reusable Python packages for internal/public use.
• Ability to automate ETL and schedule Airflow DAGs.
• Track and reprocess failed pipeline runs.
• Orchestrate pipelines to run sequentially or in parallel.
• Troubleshoot data pipeline issues and fixes.
• Export/import data in CSV/JSON/XML from cloud storage like S3.
• Experience with AI IDE tools.

Skills

Python concepts

Advanced Python

ETL automation

Airflow DAGs

Pipeline monitoring

Data export/import

AI IDE tool

Tools

GitHub

CI/CD

Snowflake

AWS S3

Airflow

DBT

Job description

Turtle Trax S.A. is seeking a data pipeline engineer to design and maintain robust Python-based ETL processes in a remote setup for Mexico. The role focuses on building scalable data flows, integrating with cloud storage, and ensuring high data quality.

Responsibilities include developing reusable Python packages, orchestrating Airflow on AWS, and implementing tests with DBT. Strong SQL and cloud security awareness are expected.