Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling star schemas
- Build ETL/ELT data pipelines
- Collaborate with architects and stakeholders on data models
- Create data quality validation monitoring
- Design Snowflake databases schemas tables views
- Enforce data governance, security, and access controls
- Implement Snowflake streams tasks stages Snowpipe
- Ingest data from REST APIs and databases
- Maintain documentation for pipelines and data models
- Monitor pipelines diagnose issues support incidents
- Optimize Snowflake virtual warehouses and SQL queries
- Transform and load data into Snowflake
Perks/Benefits
- Company sponsored certification exams
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Automated scaling | Azure | 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 | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Tableau | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Regions
Countries
States
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