Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Encarnacion, Paraguay
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Build data ingestion transformation loading processes
- Collaborate with stakeholders on logical and physical data models
- Design scalable ETL pipelines
- Develop Snowflake databases schemas tables views streams tasks stages stored procedures
- Develop ingestion frameworks
- Extract ingest data from REST APIs relational databases flat files and cloud storage
- Implement automated data quality validation monitoring
- Implement dimensional modeling star schema facts dimensions
- Maintain documentation for pipelines transformations and data models
- Manage CI CD pipelines with Git and Azure DevOps
- Monitor pipelines diagnose issues and resolve incidents
- Optimize Snowflake virtual warehouses workloads and performance
- Support Azure data lake integration
- Support data governance security privacy and compliance
Perks/Benefits
- Company Sponsored Coursework Exams and Certifications
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training & conferences
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 as Code | Key Vault | Performance optimization | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowpipe | Star Schema | Tableau | Terraform | Virtual Warehouse | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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