Senior Data Engineer - Remote (Mexico) | PySpark & Databricks

Devconnectplatform; México; Remote; MXN 1.672.000 - 2.229.000; Vollzeit

Benefits dieser Stelle

100% Remote Work

USD Pay

Paid Time Off

Zusammenfassung

Truelogic is seeking a Senior Data Engineer to join our digital marketing data platform. You will design, build, and maintain scalable ETL pipelines using PySpark and Databricks, optimize performance, and collaborate with engineering and business teams across functions.

This 100% remote role offers USD compensation, paid time off, and autonomy to manage your work. 5–7 years of hands-onData Engineering experience with Python is essential, and you will work with leading U.S.

Qualifikationen

• 5–7 years of hands-on data engineering experience building production-grade solutions.
• Deep understanding of end-to-end ETL processes and complex data transformations.
• Strong communication across technical and business teams.

Aufgaben

• Pipeline Architecture: Design, build, and maintain scalable ETL pipelines for large-scale data processing.
• Core Tech Stack: Work with PySpark and Databricks to execute data transformations and workflows.
• Optimization & Efficiency: Fine-tune data pipelines for performance, scalability, and cost-efficiency.
• Cross-Functional Collaboration: Partner with engineering and business teams to translate requirements into data solutions.
• Troubleshooting & Maintenance: Debug and resolve pipeline bottlenecks.
• Data Standards: Enforce data quality, governance, and system performance.

Kenntnisse

Python

PySpark

Databricks

Tools

Databricks AutoLoader

Databricks

Jobbeschreibung

Truelogic is seeking a Senior Data Engineer to join our digital marketing data platform. You will design, build, and maintain scalable ETL pipelines using PySpark and Databricks, optimize performance, and collaborate with engineering and business teams across functions.

This 100% remote role offers USD compensation, paid time off, and autonomy to manage your work. 5–7 years of hands-onData Engineering experience with Python is essential, and you will work with leading U.S.