Data Engineer | CDMX | Híbrido
Mexico City, Mexico City, Mexico
R
MXN 480K-480K (estimate) Entry-level Full Time
Tasks
- Build ETL/ELT processes
- Design scalable data pipelines
- Develop data warehouse data lake and lakehouse solutions
- Ensure data quality, availability, and security
- Gather information requirements with business and technology teams
- Implement and optimize cloud data processing
- Work in Agile Scrum Kanban projects
Perks/Benefits
Skills/Tech-stack
Agile | Amazon EMR | Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Spark | DBT | Data Lake | Data Modeling | Data Vault | Data Warehouse | Data mesh | DataOps | DevOps | DevSecOps | ELT | ETL | Google BigQuery | Hadoop | Kanban | Lakehouse | MLOps | Python | SQL | Scala | Scrum | Snowflake | Web Services
Education
N/A
Roles
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