Remote Senior Data Engineer: AWS, ETL & Data Lake Lead

Launch Potato; Ciudad de México; Híbrido; MXN 1,033,000 - 1,551,000; Jornada completa

Descripción de la vacante

A data-driven company in Mexico City is seeking an experienced Data Engineer to lead data engineering efforts and support cross-functional teams. The ideal candidate has over 5 years of experience in data engineering within cloud-native environments and strong expertise in Python, SQL, Docker, and AWS. This role involves building scalable ETL processes, delivering clean datasets for analytics, and contributing to a high-performance engineering culture centered on quality and strategic thinking.

Formación

• 5+ years of experience in data engineering within fast-paced, cloud-native environments.
• Deep expertise in Python, SQL, Docker, and AWS.
• Experience building and managing scalable ETL pipelines and data lake infrastructure.

Responsabilidades

• Lead scalable data engineering efforts for cross-functional teams.
• Build and optimize ETL and data lake processes.
• Partner with BI and Analytics to deliver query-ready datasets.
• Enhance database monitoring and anomaly detection workflows.
• Serve as the point of contact for reporting infrastructure.

Conocimientos

Data engineering within cloud-native environments

Python

SQL

Docker

AWS (S3, Glue, Kinesis, Athena/Presto)

Data quality best practices

Cross-functional collaboration

Descripción del empleo

A data-driven company in Mexico City is seeking an experienced Data Engineer to lead data engineering efforts and support cross-functional teams. The ideal candidate has over 5 years of experience in data engineering within cloud-native environments and strong expertise in Python, SQL, Docker, and AWS. This role involves building scalable ETL processes, delivering clean datasets for analytics, and contributing to a high-performance engineering culture centered on quality and strategic thinking.