Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tegucigalpa, Honduras
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling for data warehouses
- Build data ingestion transformation loading processes
- Build ingestion frameworks
- Collaborate with data architects and stakeholders
- Create logical and physical data models
- Design ETL/ELT pipelines
- Diagnose performance issues and resolve incidents
- Implement Snowflake data platform objects
- Implement data quality controls validation and monitoring
- Ingest data from REST APIs relational databases flat files and cloud storage
- Maintain documentation for pipelines flows transformations and data models
- Monitor and optimize pipelines and workloads
- Optimize Snowflake warehouses and SQL performance
- Support data governance and security access controls and masking
Perks/Benefits
- Company-sponsored certifications
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Agile | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | CI/CD | Data Factory | Data Governance | Data Ingestion | Data Lake Storage | Data Monitoring | Data Quality | Data Security | Data Sharing | Data Warehousing | Data integration | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | SQL | STAGES | Secure Data | Secure Data Sharing | Snowflake | Snowpipe | Star Schema | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Roles
Regions
Countries
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