Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Buenos Aires Province, Argentina
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Build data ingestion transformation loading processes
- Collaborate on logical physical data models
- Design ETL/ELT pipelines
- Develop Snowflake data platform objects
- Develop ingestion frameworks
- Enforce data engineering standards best practices
- Extract data from REST APIs relational databases flat files
- Implement data quality controls validation monitoring
- Implement dimensional modeling
- Maintain documentation for pipelines transformations data models
- Monitor pipelines diagnose performance issues
- Optimize Snowflake workloads performance
- Recommend performance cost efficiency improvements
- Support Azure data platform integration
- Support data governance security privacy compliance
Perks/Benefits
- Company-sponsored certifications
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training and 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 Quality | Data Security | Data Sharing | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Performance Tuning | Power BI | PySpark | Python | REST APIs | SQL | STAGES | SnowPro | Snowflake | Snowpipe | Star Schema | Streams | Tableau | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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