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

Launch Potato; Ciudad de México; Híbrido; MXN 1,033,000 - 1,379,000; Jornada completa

Descripción de la vacante

A leading data-driven company seeks a Data Engineer to lead scalable data engineering efforts and optimize ETL processes. Applicants should have over 5 years of experience in data engineering within AWS-based environments, strong proficiency in Python, SQL, and Docker, and the ability to collaborate with BI and Analytics teams. This role offers significant career growth opportunities in a diverse, inclusive workplace committed to equal employment opportunity.

Formación

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

Responsabilidades

• Lead scalable data engineering efforts for cross-functional teams.
• Build and optimize scalable ETL and data lake processes.
• Partner with BI and Analytics for clean, query-ready datasets.

Conocimientos

Python

SQL

Docker

AWS (S3, Glue, Kinesis, Athena)

Data Engineering

Cross-functional collaboration

Descripción del empleo

A leading data-driven company seeks a Data Engineer to lead scalable data engineering efforts and optimize ETL processes. Applicants should have over 5 years of experience in data engineering within AWS-based environments, strong proficiency in Python, SQL, and Docker, and the ability to collaborate with BI and Analytics teams. This role offers significant career growth opportunities in a diverse, inclusive workplace committed to equal employment opportunity.