Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling
- Build data ingestion and transformation processes
- Collaborate on logical and physical data models
- Collaborate with cross-functional teams
- Design ETL/ELT pipelines
- Develop ingestion frameworks
- Extract and ingest data from REST APIs and databases
- Implement Snowflake data platform objects
- Implement data quality controls and monitoring
- Maintain documentation for pipelines and data models
- Monitor pipelines and resolve incidents
- Optimize Snowflake performance and cost
- Support data governance and security
Perks/Benefits
- Company-sponsored certifications
- Conferences
- 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 | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Tableau | Terraform | Virtual Warehouses | “as-code”
Roles
Regions
Countries
States
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