Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
COP 78000K-102000K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling with star schemas fact tables and dimension tables
- Build ETL and ELT pipelines using Python and PySpark
- Collaborate with data architects data scientists analysts and business stakeholders
- Create logical and physical data models aligned with business goals
- Design and optimize Snowflake cloud data solutions
- Develop reusable data ingestion and transformation processes
- Diagnose pipeline performance issues and support incident resolution
- Enforce data engineering standards best practices and governance
- Ensure data security, privacy, and regulatory compliance
- Implement Snowflake objects including streams tasks stages and stored procedures
- Implement automated data quality controls and monitoring
- Ingest and transform data from REST APIs relational databases and cloud storage
- Maintain documentation for pipelines transformations and data models
- Monitor and optimize Snowflake workloads and SQL queries for SLAs
- Support Snowflake integration with Azure services
Perks/Benefits
- Company-sponsored certifications
- Company-sponsored coursework
- Conferences
- 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 Modeling | Data Quality | Data Security | Data Sharing | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Stored Procedures | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Regions
Countries
States
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