Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Rio de Janeiro, Brazil
R
BRL 234K-295K (estimate) Senior-level Full Time
Tasks
- Build data ingestion transformation loading processes
- Collaborate with data architects to create data models
- Design ETL/ELT pipelines
- Develop Snowflake data platform objects
- Enforce data governance, security, and compliance
- Implement data quality, validation, and monitoring
- Implement dimensional modeling
- Ingest data from REST APIs relational databases cloud storage flat files
- Maintain documentation for pipelines and data models
- Monitor pipelines diagnose issues and resolve incidents
- Optimize Snowflake workloads and SQL queries
- Participate in CI/CD pipeline setup
- Support Snowflake integration with Azure services
Perks/Benefits
- Certification support
- Company-sponsored coursework
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Agile | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | Azure Lakehouse | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Quality | Data Security | Data Validation | Data Vault | Data masking | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Stored Procedures | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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