Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Apply dimensional modeling with star schemas facts dimensions
- Build data ingestion transformation loading processes
- Collaborate with data architects to create logical and physical data models
- Collaborate with stakeholders on requirements
- Design scalable ETL/ELT pipelines
- Develop ingestion frameworks
- Diagnose pipeline performance issues and support production incidents
- Extract and ingest data from REST APIs relational databases flat files cloud storage
- Implement Snowflake objects databases schemas tables views streams tasks stages stored procedures
- Implement data quality validation monitoring
- Maintain pipeline documentation
- Monitor and optimize Snowflake workloads ETL ELT processes SQL queries
- Optimize Snowflake virtual warehouses data sharing time travel
- Support Snowflake integration with Azure services
- Support data governance access controls masking policies
Perks/Benefits
- Company-sponsored certifications
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
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 Security | Data integration | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Star Schema | Tableau | Terraform | Time Travel | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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