Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Medellin, Antioquia, Colombia
R
COP 78000K-102000K (estimate) Senior-level Full Time
Tasks
- Build reusable ingestion frameworks
- Collaborate with stakeholders on data requirements
- Design ETL/ELT pipelines
- Develop data ingestion transformations and loading
- Implement Snowflake objects and pipelines
- Implement data quality, validation, and monitoring
- Ingest data from REST APIs relational databases SaaS and flat files
- Maintain documentation for pipelines and data models
- Manage virtual warehouses streams tasks and Snowpipe
- Model dimensional data warehouses
- Monitor and troubleshoot pipelines and workloads
- Optimize Snowflake performance and cost
- Support data governance and security controls
Perks/Benefits
- Company-sponsored certifications
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training and conferences
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 Modeling | Data Quality | Data Security | Data masking | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | Relational databases | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Terraform | Virtual Warehouse | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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