Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Quito, Pichincha, Ecuador
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling star schemas fact tables and dimension tables
- Build data ingestion transformation loading processes
- Collaborate with data architects and business stakeholders
- Design ETL/ELT pipelines
- Develop Snowflake data models and warehousing
- Implement Snowflake objects pipelines and automation
- Implement automated data quality monitoring and validation
- Ingest structured and semi structured data from REST APIs databases flat files and cloud storage
- Maintain documentation for pipelines data models and transformations
- Manage pipeline operations diagnose issues and resolve incidents
- Monitor and optimize Snowflake workloads and SQL queries
- Support data governance security privacy and compliance
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 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 | STAGES | Secure Data | Secure Data Sharing | Snowflake | Snowpipe | Star Schema | Streams | Tableau | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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