Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Liberia, Costa Rica
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Build data ingestion transformation loading processes
- Collaborate on logical and physical data models
- Design ETL and ELT pipelines
- Develop Snowflake databases schemas tables views streams tasks stages stored procedures
- Develop ingestion frameworks
- Diagnose performance issues and resolve incidents
- Implement data quality controls validation and monitoring
- Implement dimensional modeling star schemas facts dimensions
- Ingest data from REST APIs relational databases SaaS apps flat files and cloud storage
- Maintain documentation for pipelines and data models
- Monitor and optimize ETL ELT pipelines and SQL queries
- Optimize Snowflake virtual warehouses and workloads
- Partner with cross-functional teams on requirements
- Support data governance and security access controls masking policies
- Support integration between Snowflake and Azure services
Perks/Benefits
- Company sponsored coursework and exams
- Continuing education
- Flexible working hours
- Paid time off
- Performance-based salary increases
- 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 Modeling | Data Quality | Data Security | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowpipe | Star Schema | Tableau | Terraform | Virtual Warehouse | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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