Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Salvador, Bahia, Brazil
R
BRL 234K-295K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling for enterprise data warehouses
- Build scalable ETL/ELT pipelines
- Collaborate with data architects and stakeholders on data models
- Design and optimize Snowflake warehouses and workloads
- Implement Snowflake objects and automation using streams tasks and stages
- Implement data quality, validation, and monitoring
- Ingest data from REST APIs relational databases and flat files
- Maintain documentation for pipelines and transformations
- Monitor pipelines and resolve production incidents
- Optimize SQL queries for performance and cost efficiency
- Support data governance security and privacy controls
- Transform and load data into Snowflake
Perks/Benefits
- Company-sponsored certifications
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training & 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 Quality | Data Security | Data Sharing | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | STAGES | Secure Data | Secure Data Sharing | Snowflake | Snowpipe | Star Schema | Streams | Tableau | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Roles
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