About this role
Job title: Senior Data Engineer (Pipelines & Transformations)
What will you do? Build, operate, and continuously improve data transformation pipelines from the Silver layer to the Gold layer.
Responsibilities
- Develop and maintain data transformation jobs using AWS Glue and PySpark.
- Implement data quality rules and reconciliation controls.
- Build and document state machines for the assigned business domain.
- Participate in code reviews and follow engineering standards established by the Lead Data Architecture Engineer.
- Monitor pipeline execution and resolve first-level production incidents.
- Working day
- Full time
Location
Ciudad de Mexico Remote 50%
Technologies and Skills Mandatory
- AWS, Azure o GCP Advanced
- Python Advanced
- Spark
Skills
- Analytical thinking
Benefits
- Budget for training
- Major Medical Insurance
- Minor Medical Insurance
- Savings Fund
- Free unlimited access to UDEMY
- Inspire us with your talent!