Senior Data Engineer — ETL, Data Lake & Growth (Remote)

Launch Potato; Monterrey; Híbrido; MXN 1,206,000 - 1,551,000; Jornada completa

Descripción de la vacante

A leading data-driven company is seeking an experienced Data Engineer to lead efforts in building scalable data infrastructure. This role requires over 5 years of experience in cloud-native environments with proficiency in Python and AWS tools. Responsibilities include optimizing ETL processes, ensuring data integrity, and collaborating cross-functionally to drive user engagement and revenue growth. The company is committed to diversity and inclusion in its hiring practices.

Formación

• 5+ years of experience in data engineering within fast-paced, cloud-native environments.
• Deep expertise in building and managing scalable ETL pipelines and data lake infrastructure.
• Familiarity with distributed systems and data quality best practices.

Responsabilidades

• Lead scalable data engineering efforts and empower cross-functional teams with reliable data.
• Build and optimize scalable ETL and data lake processes.
• Partner closely with BI and Analytics for data support.

Conocimientos

Python

SQL

Docker

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

Cross-functional collaboration

Descripción del empleo

A leading data-driven company is seeking an experienced Data Engineer to lead efforts in building scalable data infrastructure. This role requires over 5 years of experience in cloud-native environments with proficiency in Python and AWS tools. Responsibilities include optimizing ETL processes, ensuring data integrity, and collaborating cross-functionally to drive user engagement and revenue growth. The company is committed to diversity and inclusion in its hiring practices.