We are looking for a highly experienced, hands-on AWS Data Engineer with strong expertise in Python, data pipelines, SQL, and Snowflake. The adecuado candidate will have extensive experience developing scalable data solutions, automating ETL processes, and ensuring data quality across complex environments.

Requirements

- 10+ years of professional experience in data engineering or a related field.
- Bachelor's degree required.
- Advanced English proficiency required.
- Strong hands-on experience with Python, including data structures, modules, packages, classes, inheritance, multithreading, and functional programming.
- Experience developing reusable Python packages for internal or public use.
- Expertise in building and automating ETL processes and data pipelines using Airflow DAGs.
- Experience with pipeline orchestration, sequential and parallel processing, error handling, troubleshooting, and data reprocessing.
- Experience importing and exporting CSV, JSON, and XML files, preferably using Amazon S3 or other cloud storage solutions.




- Advanced SQL skills, including complex joins, CTEs, and subqueries.
- Experience with Snowflake, including query optimization and performance tuning.
- Experience developing and executing Python unit, integration, and system tests.
- Knowledge of dbt testing and data quality validation.
- Experience using Python and Jinja for code generation.
- Proficiency with GitHub and version control best practices.
- Experience using AI-powered IDE tools to improve development productivity.

Nice to Have

- Experience with AWS services such as S3, Lambda, ECS, and IAM.
- Knowledge of CI/CD pipelines and automated deployment processes.
- Experience with monitoring and troubleshooting tools such as CloudWatch or Datadog.
- Familiarity with data integration frameworks and cloud security best practices.

Interested candidates are welcome to apply

📌 Data Engineer (México)
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