Senior Cloud Data Engineer – AWS ETL & Pipelines

Brillio; Región Centro; On-site; MXN 420,000 - 840,000; Full time

Job summary

Brillio is seeking a Senior Tech Specialist, Cloud Engineering to design and optimize scalable AWS data pipelines for analytics. You will implement robust database architectures, write complex SQL, and develop Python ETL automation across data stores like S3, Redshift, and Aurora.

Expect collaboration with support teams to resolve Hypercare tickets and ensure high availability of cloud-based data services, applying data warehousing best practices and performance tuning.

Qualifications

• Hands-on AWS data engineering experience with pipeline development.
• Design and optimize scalable data pipelines and ETL workflows.
• Write and optimize complex SQL for high-volume analytics.
• Develop automation scripts for data ingestion and transformation.
• Collaborate with support teams to resolve data-related issues.
• Familiar with real-time and batch data processing on AWS.
• Strong knowledge of data warehousing concepts and performance tuning.

Responsibilities

• Design, develop, and optimize scalable data pipelines and ETL workflows using AWS services.
• Implement robust database architectures with data modeling and normalization.
• Write and optimize SQL queries across AWS data stores for analytics.
• Develop Python data engineering solutions for ingestion and transformation.
• Monitor and troubleshoot cloud-based data workflows for reliability.
• Collaborate with application support teams to resolve Hypercare tickets.
• Integrate services like S3, EventBridge, and Aurora for real-time/batch processing.
• Enhance processing performance with data warehousing best practices.

Skills

Python scripting

SQL proficiency

Data modeling

ETL automation

Cloud data engineering

Education

Bachelor’s degree in Computer Science or related field

AWS certification track (Data Analytics or Solutions Architect)

Tools

AWS Glue

AWS Lambda

AWS Step Functions

Amazon EventBridge

Amazon S3

Amazon Redshift

Amazon Aurora

AWS CloudWatch

Python for data eng

Job description

Brillio is seeking a Senior Tech Specialist, Cloud Engineering to design and optimize scalable AWS data pipelines for analytics. You will implement robust database architectures, write complex SQL, and develop Python ETL automation across data stores like S3, Redshift, and Aurora.

Expect collaboration with support teams to resolve Hypercare tickets and ensure high availability of cloud-based data services, applying data warehousing best practices and performance tuning.