Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Mendoza, Argentina
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Build data ingestion transformations loading processes
- Collaborate with data architects and stakeholders on data models
- Design ETL/ELT pipelines
- Develop Snowflake objects and manage warehousing
- Develop data quality controls and monitoring
- Implement dimensional modeling
- Ingest data from REST APIs relational databases flat files and cloud storage
- Maintain documentation for pipelines and data models
- Monitor pipelines diagnose issues and support incident resolution
- Optimize Snowflake workloads and SQL performance
- Support data governance security privacy and compliance
Perks/Benefits
- Company sponsored certifications and coursework
- 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 | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Privacy | Data Quality | Data Security | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Stored Procedures | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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