Experience Range: 4 to 7 years of experience, including hands-on AWS data engineering and cloud-based data pipeline development
Key Responsibilities: Design, develop, and optimize scalable data pipelines and ETL workflows using AWS services such as Glue, Lambda, Step Functions, and Redshift
Implement and maintain robust database architectures, ensuring effective data modeling, normalization, and query optimization for large-scale analytics platforms
Write, review, and optimize complex SQL queries for data extraction, transformation, and loading across multiple AWS data stores
Develop automation scripts and data engineering solutions using Python to streamline data ingestion, transformation, and cloud-native application processes
Monitor, troubleshoot, and resolve technical issues in cloud-based data workflows, ensuring high availability and reliability of data services
Collaborate with application support teams to resolve Hypercare tickets, providing technical guidance and root cause analysis for data-related issues
Integrate AWS services such as S3, Event Bridge, and Aurora to support real-time and batch data processing requirements




Enhance data processing performance by implementing best practices in data warehousing and contributing to system performance tuning initiatives Required Skills: AWS Glue, Lambda, Step Functions, and Event Bridge
Amazon S3, Redshift, and Aurora
Database design, data modeling, and normalization techniques
Complex SQL query development and optimization
Python programming for data engineering, ETL development, and automation
Building and maintaining scalable data pipelines on AWS
Data warehousing concepts and performance tuning
AWS Cloud Watch for monitoring and alerting
Amazon Dynamo DB and Amazon Kinesis for data streaming and storage Preferred Skills: AWS analytics services such as Athena, EMR, and Open Search
Infrastructure-as-code tools like Cloud Formation
Amazon SNS and SQS for messaging and event-driven architectures
AWS security tools such as Macie
Spark (Scala) and big data processing frameworks Desired Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline
AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate certification
Certification in Python programming or data engineering (such as Python Institute PCAP or equivalent) #J-18808-Ljbffr

📌 Aws Data Engineer (redshift, Aurora, Glue, Lambda, Step Functions) (Guadalajara)
🏢 Brillio
📍 Guadalajara