Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Apply dimensional modeling star schemas
- Build Snowflake tables views and stages
- Collaborate with stakeholders on logical and physical models
- Design ETL/ELT pipelines
- Develop reusable ingestion frameworks
- Extract data from REST APIs and databases
- Implement Snowflake streams tasks and Snowpipe
- Implement data quality, validation, and monitoring
- Maintain pipeline and data model documentation
- Manage CI CD pipelines and source code with Git
- Monitor pipelines and diagnose performance issues
- Optimize SQL queries and warehouse performance
- Support data governance and security access 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
Access Control | 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 | Data masking | Dimension tables | Dimensional Modeling | ELT | ETL | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Data Sharing | Snowflake Stages | Snowflake Streams | Snowflake Tasks | Snowflake data | Snowpipe | Star Schema | Terraform | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Engineering in Computer Science | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Engineering | Bachelor of Science in Information Technology
Roles
Regions
Countries
States
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