Data Engineer II: Real-Time AI-Ready Data Platforms

Amazon

Ciudad de México

Presencial

MXN 900.000 - 1.300.000

Jornada completa

14 días+

Recibe más respuestas de empleadores

Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Descripción de la vacante

Amazon Mexico S. de R.L. de C.V.

is seeking a data engineer to design, build, and operate large-scale data infrastructure powering analytics, AI/ML workloads, and intelligent automation across Device Operations. You will implement data models, ETL/ELT processes, and real-time and batch pipelines to enable AI-ready data foundations for BI and agentic systems. You will collaborate with scientists and engineers, translate requirements into scalable solutions, and contribute to full lifecycle

Formación

Bachelor's degree in a quantitative/technical field such as CS or engineering.
4+ years of data engineering or BI/analytics experience.
Experience writing complex SQL across large datasets.
4+ years of development/scripting (Python/Java/Bash/Perl).
Experience with data warehousing, ETL/ELT, and data modeling.
Experience with Redshift and distributed data stack (Hive/Spark/Kafka).
AWS services familiarity including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2.

Responsabilidades

Design, implement, and operate scalable data pipelines (batch and real-time).
Build data infrastructure for AI-ready datasets for ML models and agents.
Interface with teams to extract, transform, and load data from diverse sources using SQL and Python.
Create and maintain data models and ETL/ELT processes on MPP warehouses.
Develop data integration pipelines across batch and streaming paradigms.
Deliver well-documented data solutions meeting ML training and inference needs.
Mentor junior data engineers on best practices and operations.