Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Cartagena, Bolivar, Colombia
R
COP 78000K-102000K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling Star Schema
- Build ingestion frameworks
- Collaborate on logical physical data models
- Collaborate with cross-functional stakeholders
- Design ETL/ELT pipelines
- Develop reusable ingestion transformations loading processes
- Diagnose performance issues and resolve incidents
- Extract ingest data from REST APIs relational databases flat files cloud storage
- Implement Snowflake data platform objects
- Implement data quality validation monitoring
- Integrate Snowflake with Azure services
- Maintain pipeline documentation
- Monitor and optimize SQL queries pipelines
- Optimize Snowflake virtual warehouses workloads
- Support data governance and security compliance
Perks/Benefits
- Company-sponsored coursework
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Lakehouse | Data Quality | Data Security | Data Vault | Data mesh | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Streams | Tableau | Tasks | Terraform | Time Travel | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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