Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América

Tasks

• Build data ingestion and transformation workflows
• Design ETL/ELT pipelines
• Develop Snowflake objects and pipelines
• Enforce data quality controls and monitoring
• Implement dimensional modeling
• Ingest data from REST APIs and databases
• Maintain documentation and support production incidents
• Monitor data pipelines and diagnose issues
• Optimize Snowflake performance and cost
• Support data governance and security

Perks/Benefits

• Company sponsored coursework and exams
• Conference attendance
• Continuing education
• Flexible working hours
• Paid time off
• Remote work
• Training opportunities

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 | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”