Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling star schemas facts and dimensions
- Build reusable data ingestion transformations and loading processes
- Collaborate with stakeholders on data models and requirements
- Design scalable ETL/ELT pipelines
- Develop Snowflake warehouses and optimize performance
- Develop robust ingestion frameworks
- Diagnose performance issues and support production incidents
- Enforce data governance security and privacy controls
- Extract and ingest data from REST APIs relational databases flat files and cloud storage
- Implement Snowflake objects and automation
- Implement data quality, validation, and monitoring
- Maintain technical documentation
- Monitor and optimize pipelines workloads and SQL for SLAs
- Support data platform architecture data lakes lakehouses data mesh
Perks/Benefits
- Company-sponsored certifications
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training and conferences
Skills/Tech-stack
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 Streams | Data masking | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Time Travel | Snowpipe | Star Schema | Tableau | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
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