Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
San Salvador, El Salvador
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling for data warehouses
- Build and optimize Snowflake data solutions
- Collaborate on logical and physical data models
- Design scalable ETL/ELT pipelines
- Develop data ingestion transformation loading processes
- Diagnose pipeline performance issues and resolve incidents
- Enforce data governance and security controls
- Implement Snowflake objects and orchestration
- Implement data quality, validation, and monitoring
- Ingest data from REST APIs relational databases and flat files
- Integrate Snowflake with Azure services
- Maintain pipeline and data model documentation
- Monitor and optimize workloads for SLAs
- Partner with cross-functional stakeholders
Perks/Benefits
- Company-sponsored certifications
- Conference attendance
- 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 Quality | Data Security | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Performance Tuning | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Star Schema | Tableau | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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