Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Heredia, Costa Rica
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling star schema fact and dimension tables
- Build and optimize Snowflake data solutions
- Build reusable data ingestion and transformation processes
- Collaborate on logical and physical data models
- Design scalable ETL/ELT pipelines
- Develop ingestion frameworks
- Diagnose pipeline performance issues and support production incidents
- Enforce data security access controls and masking
- Implement Snowflake objects databases schemas tables views streams tasks stages stored procedures
- Implement data quality, validation, and monitoring
- Ingest data from REST APIs relational databases cloud storage and flat files
- Maintain documentation for pipelines and data models
- Monitor and optimize Snowflake workloads and SQL queries
- Support data governance and compliance
Perks/Benefits
- Certification support
- Conference attendance
- Continuing education
- Exam support
- Flexible working hours
- Paid time off
- Remote work
- Training opportunities
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 Lake Storage | Data Modeling | Data Quality | Data Security | Dimensional Modeling | 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 | Bachelor of Science in Computer Science | Bachelor of Science in Data Engineering | Bachelor of Science in Information Technology
Roles
Regions
Countries
States
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