Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Apply dimensional modeling star schema facts dimensions
- Build reusable ingestion frameworks
- Collaborate with cross-functional teams to gather requirements
- Collaborate with data architects on logical and physical data models
- Design ETL/ELT pipelines
- Develop data ingestion transformation loading jobs
- Diagnose pipeline performance issues and support incident resolution
- Extract ingest data from REST APIs relational databases SaaS flat files cloud storage
- Implement Snowflake databases schemas tables views streams tasks stages stored procedures
- Implement data quality controls validation monitoring
- Integrate Snowflake with Azure services
- Maintain documentation for pipelines flows transformations data models
- Monitor and optimize ETL ELT processes and SQL queries
- Optimize Snowflake virtual warehouses
- Support data governance and security access controls masking
Perks/Benefits
- Company-sponsored certifications
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
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 | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST API | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Streams | Tableau | Tasks | 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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