Senior ETL Engineer – Bilingual – Onsite Medellin Office
Tasks
- Build and maintain data lakes warehouses and lakehouse architectures
- Build batch and real-time workflows
- Collaborate with engineering and AI teams
- Communicate technical concepts in English
- Design optimize ETL ELT pipelines
- Develop cloud-native data solutions
- Ensure data quality, integrity, and performance
- Ensure high availability and reliability
- Implement monitoring and validation for AI data systems
- Implement security governance and compliance
- Improve pipeline efficiency and reduce latency
- Operationalize machine learning models
- Prepare datasets for AI ML training and deployment
- Support MLOps pipelines and automated deployments
- Troubleshoot production data issues
- Tune SQL queries and optimize transformations
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Azure | BigQuery | Cloud Security | Data Governance | Data Lake | Data Lakehouse | Data Quality | Data Warehouse | Databricks | ELT | ETL | Feature Engineering | GCP | MLOps | Machine Learning | Model Deployment | Monitoring | Python | SQL | Snowflake
Education
Roles
Regions
Countries
States
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