Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Build reusable ingestion and transformation frameworks
- Collaborate with data architects and stakeholders
- Create dimensional data models with star schemas
- Design and optimize Snowflake warehouses
- Develop ETL/ELT pipelines
- Implement Snowflake streams tasks stages and Snowpipe
- Implement data quality, validation, and monitoring
- Ingest data from REST APIs and databases
- Maintain technical documentation
- Monitor pipelines and resolve production incidents
- Optimize SQL queries and pipeline performance
- Set up Azure data ingestion and orchestration
- Support data governance and security controls
- Transform and load data into Snowflake
Perks/Benefits
- Company-sponsored certifications
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
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 Quality | Data Security | Data masking | Dimension tables | Dimensional Modeling | ELT | ETL | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | Relational databases | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Tableau | Terraform | Virtual Warehouses | “as-code”
Roles
Regions
Countries
States
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