Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
San Miguel, El Salvador
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Build data ingestion pipelines
- Collaborate on logical and physical data models
- Collaborate with cross-functional teams
- Create and manage Snowflake objects
- Design ETL/ELT pipelines
- Develop Snowflake data solutions
- Develop ingestion frameworks
- Diagnose pipeline performance issues
- Enforce data security access controls
- Ensure compliance with data privacy regulations
- Extract data from REST APIs
- Implement data quality controls
- Implement dimensional modeling
- Ingest data from cloud storage
- Ingest data from flat files
- Ingest data from relational databases
- Maintain documentation for pipelines and data models
- Maintain production support
- Monitor and optimize SQL queries
- Optimize Snowflake workloads
- Set up monitoring and validation
- Support data governance initiatives
- Transform and load data
Perks/Benefits
- Company-sponsored certifications
- Company-sponsored coursework
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training & 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 Sharing | Data integration | Data quality monitoring | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | Quality monitoring | REST APIs | SQL | STAGES | Secure Data | Secure Data Sharing | 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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