Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Build data ingestion transformations loading processes
- Collaborate with architects and stakeholders
- Design ETL/ELT pipelines
- Develop Snowflake data solutions
- Develop ingestion frameworks
- Ensure data governance and security compliance
- Extract and ingest data from REST APIs and databases
- Implement data quality controls and monitoring
- Implement dimensional modeling
- Maintain documentation for data workflows and models
- Manage Snowflake objects and orchestration
- Monitor pipelines and resolve production incidents
- Optimize Snowflake workloads and SQL performance
- Support Azure data lake architecture
Perks/Benefits
- Company sponsored certification support
- Conferences
- 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 Quality | Data Security | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Stored Procedures | Streams | Tasks | Terraform | Virtual Warehouses | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Regions
Countries
States
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