Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Manaus, Amazonas, Brazil
R
BRL 234K-295K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling Star Schema
- Build ELT pipelines
- Collaborate with cross-functional teams
- Collaborate with data architects
- Design ETL pipelines
- Design Snowflake data models
- Develop data ingestion processes
- Develop data transformation workflows
- Diagnose pipeline performance issues
- Enforce data security and privacy
- Establish data engineering standards
- Extract data from REST APIs
- Implement Snowflake streams tasks stages
- Implement data quality controls
- Implement reusable ETL frameworks
- Ingest data from cloud storage
- Ingest data from flat files
- Ingest data from relational databases
- Maintain pipeline documentation
- Maintain production support and incident resolution
- Manage Snowflake databases schemas tables views
- Monitor ETL and SQL workloads
- Optimize SQL queries
- Optimize Snowflake performance
- Set up monitoring and validation
- Support data governance
Perks/Benefits
- Company-sponsored certifications
- Conference support
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training opportunities
Skills/Tech-stack
Agile | 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 | Data Sharing | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Infrastructure automation | Key Vault | Performance optimization | PySpark | Python | REST APIs | SQL | STAGES | Secure Data | Secure Data Sharing | 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 Data Engineering | Bachelor of Science in Information Technology
Roles
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