Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling for data warehouses
- Build data ingestion transformations loading processes
- Collaborate on logical and physical data models
- Collaborate with cross-functional stakeholders
- Design ETL/ELT pipelines
- Develop ingestion frameworks
- Extract data from REST APIs relational databases SaaS flat files and cloud storage
- Implement Snowflake objects and operations
- Implement data quality controls validation and monitoring
- Integrate Snowflake with Azure services
- Maintain documentation for pipelines and data models
- Monitor and optimize ETL ELT and pipeline SLAs
- Optimize Snowflake warehouses and SQL performance
- Support data governance and security compliance
- Troubleshoot pipeline performance issues and production incidents
Perks/Benefits
- Company sponsored certifications and exams
- Conference attendance
- Continuing education and training
- Flexible working hours
- Paid time off
- Remote work
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 | Data Sharing | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | STAGES | SaaS | Secure Data | Secure Data Sharing | Snowflake | Snowpipe | Star Schema | Streams | Tableau | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
N/A
Roles
Regions
Countries
States
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