Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Escuintla, Guatemala
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling
- Build data ingestion transformation and loading
- Build ingestion frameworks
- Collaborate with data architects and stakeholders
- Create logical and physical data models
- Design ETL/ELT pipelines
- Develop Snowflake data solutions
- Diagnose pipeline performance issues
- Enforce data security privacy and compliance
- Implement Snowflake tables views streams tasks stages stored procedures
- Implement data quality validation monitoring
- Ingest data from REST APIs relational databases SaaS flat files and cloud storage
- Maintain pipeline and data documentation
- Monitor and optimize workloads and SQL queries
- Optimize Snowflake performance
- Support data governance initiatives
Perks/Benefits
- Company-sponsored certifications
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Automation | 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 | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Star Schema | Tableau | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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