Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Apply dimensional modeling using star schemas
- Build data ingestion and transformation workflows
- Collaborate with data architects and stakeholders
- Design ETL/ELT pipelines
- Develop Snowflake data models and warehousing objects
- Extract and load data from REST APIs and relational databases
- Implement Snowflake streams tasks stages and Snowpipe
- Implement data quality, validation, and monitoring
- Maintain documentation for pipelines transformations and data models
- Monitor pipelines and resolve production incidents
- Optimize Snowflake performance and cost
- Orchestrate data pipelines in Azure
- Set up CI CD pipelines with Git and Azure DevOps
- Support data governance, security, and compliance
Perks/Benefits
- Company sponsored certification support
- 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 | Azure Virtual | Azure Virtual Networks | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Quality | Data Security | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | SaaS | Snowflake | Star Schema | Tableau | Terraform | Virtual Networks | “as-code”
Education
Roles
Regions
Countries
States
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