Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Apply dimensional modeling
- Build data ingestion processes
- Build ingestion frameworks
- Collaborate on logical and physical data models
- Design ETL/ELT pipelines
- Ensure data security and privacy
- Extract data from REST APIs
- Implement Snowflake objects
- Implement data governance controls
- Implement data quality controls
- Ingest data from cloud storage
- Ingest data from relational databases
- Maintain pipeline documentation
- Maintain production support
- Manage Snowflake warehouses and pipelines
- Monitor data pipelines
- Optimize Snowflake workloads
- Support incident resolution
- Transform and load data
- Tune SQL queries
Perks/Benefits
- Company sponsored certification exams
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
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 | PySpark | Python | REST APIs | SQL | Snowflake | Star Schema | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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