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

Tasks

• Apply dimensional modeling
• Build data ingestion and transformation processes
• Collaborate on logical and physical data models
• Collaborate with cross-functional teams
• Design ETL/ELT pipelines
• Develop ingestion frameworks
• Extract and ingest data from REST APIs and databases
• Implement Snowflake data platform objects
• Implement data quality controls and monitoring
• Maintain documentation for pipelines and data models
• Monitor pipelines and resolve incidents
• Optimize Snowflake performance and cost
• Support data governance and security

Perks/Benefits

• Company-sponsored certifications
• Conferences
• Continuing education
• Flexible working hours
• Paid time off
• Remote work
• Training

Skills/Tech-stack

Access Controls | Agile | 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 | Data masking | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Tableau | Terraform | Virtual Warehouses | “as-code”