Data Engineer II — AI-Ready Data Pipelines

Amazon; México; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

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

is seeking a talented Data Engineer to design, build, and operate large-scale data infrastructure powering analytics, AI/ML workloads, and intelligent automation for Device Operations. You will model data, design ETL/ELT pipelines, and enable AI-ready foundations for BI and agentic systems. The ideal candidate will have deep data modeling and ETL expertise, experience with AWS data services, and a passion for scalable, well-governed data

Formación

• Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics.
• 4+ years of data engineering, database engineering, business intelligence or business analytics experience.
• Experience in writing complex, highly-optimized SQL queries across large datasets.
• 4+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience.
• Experience in data warehouse architectures, data modeling, ETL/ELT and analytics tools.
• Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and 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 using SQL, Python, and distributed frameworks.
• Implement data models and ETL/ELT processes using dimensional modeling or data vault on MPP warehouses.
• Build data integration pipelines using SQL, Python, and Spark across batch and streaming.
• Deliver high-quality datasets supporting business analysis, reporting, and AI/ML features.
• Collaborate with scientists and engineers to meet ML training and inference needs.
• Gather requirements and deliver well-documented data solutions.
• Evaluate dataset designs and tooling proposals from peers.
• Create dataset documentation, metadata, and data lineage artifacts.
• Mentor junior data engineers on best practices and operational excellence.

Conocimientos

SQL

Python

Data modeling

ETL design

Distributed systems

Mentoring

Educación

Bachelor's degree in a quantitative/technical field (e.g., CS, engineering, statistics)

Herramientas

Redshift

Hive

Spark

HBase

Yarn

Kafka

AWS S3

Sagemaker

EMR

Kinesis

Lambda

EC2

Descripción del empleo

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

is seeking a talented Data Engineer to design, build, and operate large-scale data infrastructure powering analytics, AI/ML workloads, and intelligent automation for Device Operations. You will model data, design ETL/ELT pipelines, and enable AI-ready foundations for BI and agentic systems. The ideal candidate will have deep data modeling and ETL expertise, experience with AWS data services, and a passion for scalable, well-governed data