Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling Star Schema
- Build data ingestion transformation loading processes
- Collaborate on logical physical data models
- Design ETL/ELT pipelines
- Develop Snowflake databases schemas tables views
- Diagnose pipeline performance issues and resolve incidents
- Establish data engineering standards best practices
- Implement Snowflake streams tasks stages Snowpipe
- Implement data quality monitoring and validation
- Ingest data from REST APIs relational databases flat files cloud storage
- Maintain pipeline documentation
- Monitor optimize Snowflake workloads and SQL
- Support data governance security privacy compliance
Perks/Benefits
- Company-sponsored certifications
- Conference support
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training opportunities
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 Modeling | Data Privacy | Data Quality | Data Security | Dimensional Modeling | ELT | ETL | Git | Infrastructure Monitoring | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Star Schema | Tableau | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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