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

Tasks

• Apply dimensional modeling for data warehouses
• Build and optimize Snowflake data solutions
• Collaborate on logical and physical data models
• Design scalable ETL/ELT pipelines
• Develop data ingestion transformation loading processes
• Diagnose pipeline performance issues and resolve incidents
• Enforce data governance and security controls
• Implement Snowflake objects and orchestration
• Implement data quality, validation, and monitoring
• Ingest data from REST APIs relational databases and flat files
• Integrate Snowflake with Azure services
• Maintain pipeline and data model documentation
• Monitor and optimize workloads for SLAs
• Partner with cross-functional stakeholders

Perks/Benefits

• Company-sponsored certifications
• Conference attendance
• 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 | Performance Tuning | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Star Schema | Tableau | Terraform | “as-code”