Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
La Plata, Buenos Aires Province, Argentina
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling star schemas
- Build data ingestion transformation loading
- Collaborate with cross-functional stakeholders
- Create and manage Snowflake objects
- Design ETL/ELT pipelines
- Design logical and physical data models
- Develop ingestion frameworks
- Diagnose pipeline performance issues
- Document pipelines flows transformations models and operations
- Implement Snowflake data warehousing
- Implement data integration standards best practices
- Implement data quality controls validation monitoring
- Ingest data from REST APIs relational databases flat files cloud storage
- Maintain production support and incident resolution
- Monitor optimize ETL ELT workloads and SQL queries
- Optimize Snowflake performance and cost
- Support Azure data lake architecture
- Support data governance and security access controls
Perks/Benefits
- Company-sponsored certifications
- Conference support
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Azure | 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 Monitoring | Data Quality | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | SQL | Snowflake | Star Schema | Terraform | Time Travel | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology
Roles
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