Senior Data Engineer (AWS)

TL;DR

Senior Data Engineer (AWS): Designing and implementing scalable, domain-oriented data solutions on AWS with an accent on high-quality data pipelines and CDC-based architectures. Focus on building batch and streaming ingestion pipelines, optimizing data models, and leveraging AI-assisted development tools to enhance code quality.

Location: Montevideo, Uruguay or Remote from anywhere in Mexico

Company

A premier AI services provider committed to co-creating impact through data science, AI, and technology.

What you will do

• Design and develop scalable data pipelines on AWS using Glue, S3, Athena, and Step Functions.
• Build and optimize batch and streaming ingestion pipelines, including CDC architectures.
• Implement data models aligned with business and analytics requirements.
• Ensure data quality, reliability, and performance across all datasets.
• Collaborate with cross-functional teams to align technical solutions with business needs.
• Identify risks and optimization opportunities across data workflows.

Requirements

• 5+ years of experience in Data Engineering.
• 2+ years in a Senior or Lead capacity.
• Strong experience with AWS ecosystem (Glue, S3, Athena, Step Functions).
• Strong hands-on experience with Python and PySpark.
• Deep understanding of data pipeline architecture and CDC patterns.
• Experience in data modeling for analytics and reporting.

Nice to have

• Hands-on experience with Snowflake.
• Familiarity with AI-assisted development tools.

Culture & Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths and Udemy Business.
• English language lessons to support professional communication.
• Career development plans and mentorship programs.
• Company-provided equipment and flexible working options.