AWS Data Engineer — Scalable Pipelines & Analytics

Brillio; Región Centro; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Brillio in Mexico is seeking an experienced Data Engineer to design, develop, and optimize scalable data pipelines on AWS. You will work with Glue, Lambda, Step Functions, S3, Redshift, and Aurora to enable large-scale analytics and reliable data movement across systems.

You will write and tune complex SQL, model data, and build Python ETL scripts, monitor workflows with CloudWatch, and collaborate with cross‑functional teams to ensure robust, real‑time data processing for business insights.

Formación

• 4 to 7 years of hands-on AWS data engineering experience.
• Proficient in designing scalable data pipelines on AWS.
• Strong SQL querying and data modeling skills.
• Experience with Python for ETL and automation.

Responsabilidades

• Design, develop, and optimize scalable data pipelines on AWS.
• Write and optimize complex SQL for ETL across data stores.
• Develop Python automation scripts for data ingestion and processing.
• Monitor and troubleshoot cloud-based data workflows for reliability.
• Collaborate with cross-functional teams on data-related issues.

Conocimientos

AWS data engineering

Cloud data pipelines

SQL query optimization

Python for data engineering

Data modeling

ETL development

AWS glue/lambda/step Functions/event

Data warehousing

Monitoring with CloudWatch

DynamoDB and Kinesis

Herramientas

AWS Glue

AWS Lambda

AWS Step Functions

AWS EventBridge

Amazon S3

Amazon Redshift

Amazon Aurora

Amazon DynamoDB

Amazon Kinesis

CloudWatch

Descripción del empleo

Brillio in Mexico is seeking an experienced Data Engineer to design, develop, and optimize scalable data pipelines on AWS. You will work with Glue, Lambda, Step Functions, S3, Redshift, and Aurora to enable large-scale analytics and reliable data movement across systems.

You will write and tune complex SQL, model data, and build Python ETL scripts, monitor workflows with CloudWatch, and collaborate with cross‑functional teams to ensure robust, real‑time data processing for business insights.