Data Engineer
Hybrid · Guadalajara, Jalisco, Mexico
Job Summary
Senior Data Engineer to design, build, and optimize scalable cloud-based data pipelines within an AWS ecosystem. Lead the development of ETL/ELT workflows, implement CDC patterns, and integrate diverse data domains (customer, behavioral, engagement, third-party). Mentors junior and mid-level engineers, participates in architecture discussions, code reviews, and technical planning, and leverages AI-assisted development tools to improve engineering productivity and data quality. Strong Python and PySpark expertise, extensive AWS experience (Glue, S3, Athena, Step Functions), and a track record of delivering scalable data solutions in an Agile environment. Hybrid remote work option with base in Guadalajara, LATAM. Collaboration with architects, analysts, and cross-functional stakeholders to ensure reliable, scalable data architectures and operational excellence.
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
- Strong experience designing scalable data pipeline architectures
- Hands-on 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
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