Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Build data ingestion transformation loading processes
- Collaborate with stakeholders on data models
- Design ETL/ELT pipelines
- Develop Snowflake data platform objects
- Document data pipelines and data models
- Implement data quality monitoring
- Implement dimensional modeling
- Ingest data from REST APIs relational databases flat files
- Integrate Snowflake with Azure services
- Maintain production pipelines and incident resolution
- Monitor and optimize pipelines to meet SLAs
- Optimize Snowflake performance cost
- Support data governance and security
Perks/Benefits
- Certification support
- Conferences
- Continuing education
- Exam sponsorship
- 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 Quality | Data Security | Database performance | Database performance tuning | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | Performance Tuning | Power BI | PySpark | Python | REST API | SQL | Snowflake | Star Schema | Tableau | Terraform | “as-code”
Education
Roles
Regions
Countries
States
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