Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Build ETL/ELT pipelines
- Create source to target data models
- Design Snowflake data solutions
- Develop reusable ingestion frameworks
- Ensure data security and compliance
- Implement dimensional modeling
- Ingest data from REST APIs
- Ingest data from cloud storage
- Ingest data from flat files
- Ingest data from relational databases
- Maintain pipeline documentation
- Manage Snowflake objects
- Monitor pipelines and ETL jobs
- Optimize Snowflake performance
- Resolve production incidents
- Set up data governance and access controls
- Transform data for loading
- Tune SQL queries for performance
- Validate data quality controls
Perks/Benefits
- Company-sponsored certifications
- Conference access
- 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 Ingestion | Data Lake Storage | Data Quality | Data Security | Data Sharing | Data Transformation | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowflake Data Sharing | Snowflake data | 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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