Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Guayaquil, Guayas, Ecuador
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply data quality validation and monitoring
- Build data ingestion transformation loading processes
- Collaborate with architects and stakeholders on logical and physical data models
- Create dimensional models star schemas facts and dimensions
- Design ETL/ELT pipelines
- Develop Snowflake data models and warehouses
- Extract and ingest data from REST APIs relational databases flat files and cloud storage
- Implement CI CD pipelines and source control with Git
- Implement Snowflake streams tasks stages and Snowpipe
- Maintain pipeline documentation and operational processes
- Manage Azure data lake storage and Azure data factory pipelines
- Monitor pipelines diagnose issues and support production incidents
- Optimize Snowflake workloads and SQL queries
- Support data governance, security, and compliance
Perks/Benefits
- Company sponsored certification support
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
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 Pipelines | Data Quality | Data Security | Data Sharing | Data integration | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowflake Time Travel | Snowpipe | Star Schema | Stored Procedures | Tableau | Terraform | Time Travel | “as-code”
Education
Roles
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