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

Launch Potato; León; Híbrido; MXN 1,550,000 - 2,068,000; Jornada completa

Descripción de la vacante

A dynamic technology company seeks an experienced Data Engineer to lead efforts in creating scalable data pipelines and infrastructure. You will optimize ETL processes and collaborate with cross-functional teams to support analytics and business intelligence. The ideal candidate has over 5 years of experience in data engineering, particularly within AWS environments, and possesses strong skills in Python and SQL. This remote-first role offers a unique opportunity to drive impactful projects and enhance data-driven decision-making.

Formación

• 5+ years of experience in data engineering within fast-paced, cloud-native environments.
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams.
• Deep expertise in technologies like Python, SQL, Docker, and AWS.

Responsabilidades

• Lead scalable data engineering efforts to provide reliable, timely, actionable data.
• Build and optimize scalable, efficient ETL and data lake processes.
• Partner with BI and Analytics to deliver clean datasets for reporting.

Conocimientos

Data Engineering Mastery

Python

SQL

Docker

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

Cross-Functional Collaboration

Quality-Driven Execution

Proactive Ownership

Strategic Thinking

Growth Mindset

Descripción del empleo

A dynamic technology company seeks an experienced Data Engineer to lead efforts in creating scalable data pipelines and infrastructure. You will optimize ETL processes and collaborate with cross-functional teams to support analytics and business intelligence. The ideal candidate has over 5 years of experience in data engineering, particularly within AWS environments, and possesses strong skills in Python and SQL. This remote-first role offers a unique opportunity to drive impactful projects and enhance data-driven decision-making.