Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
San Pedro Sula, Honduras
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Build data ingestion and transformation processes
- Collaborate on logical and physical data models
- Collaborate with cross-functional stakeholders
- Design ETL/ELT pipelines
- Develop dimensional models
- Develop reusable loading processes
- Diagnose issues and support incident resolution
- Enforce data governance and security controls
- Extract data from REST APIs and databases
- Implement Snowflake data platform objects
- Implement data quality monitoring and validation
- Ingest structured and semi structured files
- Maintain documentation for pipelines and transformations
- Monitor pipeline performance and SLAs
- Optimize Snowflake warehouses and queries
- Support Azure data lake architecture
Perks/Benefits
- Certification support
- Conference attendance
- Continuing education
- Exam support
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Access Control | Agile | 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 | Data Sharing | Data integration | Data masking | Dimension Table | Dimensional Modeling | ELT | ETL | Fact Table | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST API | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Terraform | Time Travel | Virtual Warehouse | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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