Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Brasília, Federal District, Brazil
R
BRL 234K-295K (estimate) Senior-level Full Time
Tasks
- Build Snowflake databases schemas tables views streams tasks stages
- Collaborate with stakeholders on data requirements
- Create logical and physical data models
- Design ETL/ELT pipelines
- Develop data ingestion transformation loading processes
- Develop ingestion frameworks for structured and semi structured data
- Diagnose performance issues and resolve incidents
- Extract data from REST APIs relational databases and flat files
- Implement data quality controls validation and monitoring
- Implement dimensional modeling for data warehouses
- Maintain pipeline documentation
- Monitor and optimize pipelines to meet SLAs
- Optimize Snowflake warehouses workloads and queries
- Support Snowflake and Azure cloud integrations
- Support data governance security and privacy compliance
Perks/Benefits
- Company-sponsored certifications
- Company-sponsored coursework
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training and conferences
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 | STAGES | Snowflake | Snowpipe | Star Schema | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology
Roles
Regions
Countries
States
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