Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Valparaíso, Chile
R
CLP 49980K-58800K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling
- Build ETL/ELT pipelines
- Collaborate with stakeholders on data models
- Design Snowflake data warehouses
- Develop Python PySpark data processing
- Develop ingestion frameworks
- Enforce data governance and security
- Extract data from REST APIs and databases
- Implement Snowflake objects
- Implement data quality monitoring
- Ingest, transform, load data
- Maintain production support and documentation
- Monitor ETL ELT workloads and pipelines
- Optimize SQL queries
- Optimize Snowflake performance
- Support Azure data lake solutions
Perks/Benefits
- Company sponsored certifications and exams
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Access Control | 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 Modeling | Data Quality | Data Security | Data masking | Data pipeline | Dimensional Modeling | ELT | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST API | SQL | Snowflake | Star Schema | Terraform | “as-code”
Education
N/A
Roles
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