Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Goiânia, Goiás, Brazil
R
BRL 234K-295K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling for data warehouses
- Build reusable ingestion frameworks
- Collaborate with data architects and stakeholders
- Design and optimize Snowflake data solutions
- Develop ETL and ELT pipelines
- Enforce data governance and security controls
- Extract data from REST APIs and databases
- Implement Snowflake objects and automation
- Implement data quality monitoring and validation
- Ingest and transform data
- Integrate Snowflake with Azure services
- Maintain documentation for data pipelines and models
- Monitor pipelines and resolve production incidents
- Optimize Snowflake workloads and SQL performance
Perks/Benefits
- Company-sponsored certifications
- Conferences
- Continuing education
- 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 | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Stored Procedures | Streams | Tableau | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Roles
Regions
Countries
States
Cities
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