Contribute to the design and development of scalable data pipelines on AWS (Glue, S3, Athena, Step Functions).
Build and optimize batch and streaming ingestion pipelines, including CDC-based architectures.
Support the design and implementation of data models aligned with business and analytics needs.
Ensure data quality, reliability, and performance across pipelines and datasets.
Collaborate with cross-functional teams to align technical solutions with business requirements.
Apply best practices in data engineering, including modular design, reusability, and governance.
Leverage AI-assisted development tools to improve productivity and code quality.
Proactively identify risks, bottlenecks, and optimization opportunities across data workflows.

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or equivalent field.
Hands-on experience with the AWS ecosystem, including Glue, S3, Athena, and Step Functions (required).
Solid proficiency in Python and PySpark for data pipeline development (required).
Experience with Snowflake or similar cloud data warehouse platforms (plus).
Understanding of data pipeline architecture and design patterns.
Exposure to CDC (Change Data Capture) patterns and streaming ingestion.
Experience with data modeling for analytics and reporting use cases.
Familiarity with AI-assisted development tools (plus).
Strong problem-solving skills and ability to work effectively in collaborative, agile environments.
English: Advanced (required for effective communication with global teams).

Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Travel opportunities to attend industry conferences and meet clients.
Mentoring and Development: Career development plans and mentorship programs to help shape your path.
Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
Company-provided equipment.
Flexible working options to help you strike the right balance.
Statutory Benefits: Social security coverage (IMSS).
Christmas bonus (Aguinaldo) as per Mexican law.
Vacation premium (Prima Vacacional).
Remote work bonus.
Paid leaves as per Federal Labor Law (LFT).

Data Engineer

Key skills