Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Asunción, Paraguay
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Build data quality monitoring and validation frameworks
- Build reusable data ingestion transformation and loading processes
- Collaborate with stakeholders on logical and physical data models
- Design and develop ETL/ELT pipelines
- Develop dimensional models using star schema
- Implement Snowflake data models and objects
- Ingest and transform data from REST APIs and databases
- Maintain pipeline documentation and operational processes
- Manage CI CD pipelines and source code using Git
- Monitor and optimize Snowflake workloads and SQL queries
- Optimize Snowflake virtual warehouse performance
- Support data governance security privacy and compliance
Perks/Benefits
- Company Sponsored Coursework Exams and Certifications
- Continuing education training conferences
- Flexible working hours
- Paid time off
- Remote work
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 | ELT | ETL | Git | Infrastructure as Code | Key Vault | Performance optimization | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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