Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Porto Alegre, Brazil
R
BRL 234K-295K (estimate) Senior-level Full Time
Tasks
- Build scalable ETL and ELT pipelines
- Collaborate with data architects and stakeholders
- Design and optimize Snowflake data solutions
- Develop dimensional data models
- Document pipelines and data models
- Implement Snowflake objects and automation
- Implement data quality, validation, and monitoring
- Ingest and transform data from REST APIs and databases
- Maintain production pipelines and incident resolution
- Manage CI CD pipelines and source code
- Monitor and tune ETL and SQL workloads
- Support data governance and security controls
Perks/Benefits
- Company-sponsored certifications
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training and conferences
Skills/Tech-stack
Agile | 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 | Data Sharing | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST API | SQL | STAGES | Secure Data | Secure Data Sharing | Snowflake | Snowpipe | Star Schema | Streams | Tableau | 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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