Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Santiago, Chile
R
CLP 49980K-58800K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling for data warehousing
- Build data ingestion transformations and loading processes
- Collaborate on logical and physical data models
- Design ETL and ELT pipelines
- Develop ingestion frameworks
- Extract and ingest data from REST APIs relational databases and flat files
- Implement Snowflake objects and automation
- Implement data quality controls monitoring and validation
- Maintain documentation for pipelines and data models
- Monitor pipelines diagnose performance issues and resolve incidents
- Optimize Snowflake workloads and SQL queries
- Optimize performance for SLAs and cost efficiency
- Support Snowflake integration with Azure services
- Support data governance and security access controls and masking
Perks/Benefits
- Certification support
- Company-sponsored coursework
- Conference support
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
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 Pipelines | Data Quality | Data Security | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | SQL | Snowflake | Star Schema | Terraform | “as-code”
Roles
Regions
Countries
States
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