Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Build data ingestion transformation loading processes
- Build data quality validation and monitoring
- Collaborate with stakeholders on data models
- Design ETL/ELT pipelines
- Develop Snowflake data platform objects
- Extract and ingest data from REST APIs relational databases and flat files
- Implement dimensional modeling
- Maintain documentation for pipelines and data models
- Monitor pipelines diagnose issues and resolve incidents
- Optimize Snowflake workloads and SQL performance
- Support data governance and security access controls
Perks/Benefits
- Company sponsored exams
- Company-sponsored certifications
- Company-sponsored coursework
- Conference attendance
- 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 | Data Sharing | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Monitoring | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Stored Procedures | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | “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
Cities
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