Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Belo Horizonte, Minas Gerais, Brazil
R
BRL 234K-295K (estimate) Senior-level Full Time
Tasks
- Build ETL/ELT pipelines
- Collaborate with cross-functional stakeholders
- Design logical and physical data models
- Develop data ingestion transformations and loading processes
- Diagnose production pipeline issues and support incident resolution
- Enforce data governance standards and security
- Extract data from REST APIs and databases
- Implement Snowflake data platform objects
- Implement data quality controls monitoring and validation
- Ingest data from flat files and cloud storage
- Maintain pipeline and data model documentation
- Model dimensional data warehouses
- Monitor and optimize SQL queries and warehouse workloads
- Optimize Snowflake performance and cost
- Secure data with access controls and masking
- Support Azure based data platform integrations
Perks/Benefits
- Company-sponsored certifications
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Access Controls | 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 masking | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Star Schema | Tableau | Terraform | “as-code”
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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