Data Engineer
Hybrid · Montevideo, Montevideo Department, Uruguay
Job Summary
Lead the design, development, and optimization of scalable cloud-based data pipelines in a modern AWS ecosystem. Collaborate with the Onshore Senior Data Architect and Data Engineering Manager to support enterprise data initiatives across multiple domains, mentor junior and mid-level engineers, drive best practices in pipeline architecture, data modeling, and AI-assisted software development, and ensure data quality, reliability, and operational excellence. Must be proficient in AWS (Glue, S3, Athena, Step Functions), Python, and PySpark, with hands-on experience in ETL/ELT, CDC, and scalable data architectures in Agile environments.
Required Qualifications
- Strong experience in Data Engineering
- Strong expertise with AWS services, including AWS Glue, Amazon S3, Amazon Athena, AWS Step Functions
- Advanced proficiency in Python and PySpark
- Hands-on experience designing scalable data pipeline architectures
- Experience implementing CDC patterns
- Solid understanding of data modeling and large-scale data processing
- Experience leading technical initiatives and mentoring engineering teams
- Experience working within Agile environments
- Familiarity with AI-assisted development workflows and engineering productivity tools
- Excellent written and verbal English communication
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