Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Apply dimensional modeling star schemas fact and dimension tables
- Build reusable data ingestion and transformation processes
- Create data models aligned with business goals
- Design ETL/ELT pipelines
- Enforce data security privacy and access controls
- Implement Snowflake objects and automation using streams tasks and stages
- Implement data quality validation monitoring and governance
- Ingest data from REST APIs relational databases and flat files
- Maintain pipeline and transformation documentation
- Manage Snowflake architecture using virtual warehouses and scaling
- Monitor pipelines diagnose issues and support production incidents
- Optimize Snowflake workloads and SQL queries
- Set up CI CD pipelines using Git and Azure DevOps
Perks/Benefits
- Company-sponsored certifications
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training opportunities
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 Quality | Data Security | Data Sharing | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | STAGES | 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
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