Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Antofagasta, Chile
R
CLP 49980K-58800K (estimate) Senior-level Full Time
Tasks
- Build data ingestion transformations and loading processes
- Build ingestion frameworks
- Collaborate with data architects and stakeholders
- Create logical and physical data models
- Design ETL/ELT pipelines
- Develop Snowflake data platform objects
- Document pipelines and data models
- Enforce data governance and security controls
- Extract and ingest data from REST APIs and databases
- Implement dimensional modeling star schemas
- Manage data quality validation and monitoring
- Monitor pipelines and resolve production incidents
- Optimize Snowflake workloads and SQL performance
- Support Azure data integration
Perks/Benefits
- Company-sponsored coursework exams certifications
- Conferences
- Continuing education & training
- Flexible working hours
- Paid time off
- Remote work
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 Lakehouse | Data Modeling | Data Quality | Data masking | Data mesh | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Tableau | Terraform | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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