Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Apply dimensional modeling star schemas
- Build data ingestion transformation loading processes
- Collaborate on logical physical data models
- Create and manage Snowflake objects
- Design ETL/ELT pipelines
- Develop ingestion frameworks
- Diagnose pipeline performance issues
- Implement Snowflake data warehouse solutions
- Implement data quality validation monitoring
- Ingest data from REST APIs and relational databases
- Maintain pipeline documentation
- Manage source code and CI/CD pipelines
- Monitor and optimize Snowflake workloads ETL ELT and SQL
- Support Azure data platform integration
- Support data governance security compliance
Perks/Benefits
- Company-sponsored certifications
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Performance-based salary increases
- Remote work
- Training
Skills/Tech-stack
Access Controls | Agile | 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 Quality | Data Sharing | Data masking | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | Monitoring | PySpark | Python | REST APIs | SQL | STAGES | Secure Data Sharing | Snowflake | Snowflake Secure Data Sharing | Snowpipe | Star Schema | Streams | Tasks | Terraform | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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