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

Tasks

• Apply dimensional modeling Star Schema
• Build data ingestion transformation loading processes
• Collaborate on logical physical data models
• Design ETL/ELT pipelines
• Develop Snowflake databases schemas tables views
• Diagnose pipeline performance issues and resolve incidents
• Establish data engineering standards best practices
• Implement Snowflake streams tasks stages Snowpipe
• Implement data quality monitoring and validation
• Ingest data from REST APIs relational databases flat files cloud storage
• Maintain pipeline documentation
• Monitor optimize Snowflake workloads and SQL
• Support data governance security privacy compliance

Perks/Benefits

• Company-sponsored certifications
• Conference support
• 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 Modeling | Data Privacy | Data Quality | Data Security | Dimensional Modeling | ELT | ETL | Git | Infrastructure Monitoring | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Star Schema | Tableau | Terraform | “as-code”