AWS Data Engineer – Redshift, Glue & Real-Time Pipelines

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

Descripción de la vacante

Brillio is seeking an experienced Data Engineer to design, build, and optimize scalable AWS data pipelines and ETL workflows using Glue, Lambda, Step Functions, Redshift, and S3.

You will model data, write complex SQL, and develop Python automation for ingestion and transformation. The role includes monitoring, troubleshooting, and collaborating with support teams to ensure reliable real-time and batch processing.

Formación

• 4–7 years of experience in AWS data engineering and cloud-based data pipeline development.
• Experience designing scalable data pipelines and ETL workflows on AWS.
• Strong SQL development and optimization for large-scale analytics.
• Proficient in Python for data ingestion, transformation, and automation.
• Experience with real-time and batch data processing on AWS.

Responsabilidades

• Design, develop, and optimize scalable data pipelines and ETL workflows on AWS.
• Implement robust data architectures with modeling and normalization.
• Write and optimize complex SQL queries for data extraction and transformation.
• Develop Python automation scripts for data ingestion and cloud-native apps.
• Monitor and troubleshoot cloud-based data workflows for high availability.
• Collaborate with support teams to analyze data-related Hypercare tickets.
• Integrate AWS services like S3, EventBridge, and Aurora for real-time/batch processing.
• Contribute to data warehousing best practices and performance tuning.

Conocimientos

AWS Glue, Lambda, Step Functions, and

S3, Redshift, and Aurora

Database design, modeling, and normal.

Complex SQL query development

Python for data engineering

Data pipelines on AWS

Data warehousing concepts

AWS CloudWatch monitoring

DynamoDB and Kinesis streaming

Educación

Bachelor's degree in Computer Science / IT / Data Engineering

AWS Certified Data Analytics – Specialty or AWS Solutions Architect – Associate

Python/data engineering certification (PCAP)

Herramientas

CloudFormation

Spark (Scala)

OpenSearch

Athena

EMR

DynamoDB

Kinesis

Descripción del empleo

Brillio is seeking an experienced Data Engineer to design, build, and optimize scalable AWS data pipelines and ETL workflows using Glue, Lambda, Step Functions, Redshift, and S3.

You will model data, write complex SQL, and develop Python automation for ingestion and transformation. The role includes monitoring, troubleshooting, and collaborating with support teams to ensure reliable real-time and batch processing.