Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Build data ingestion transformations loading processes
- Collaborate with stakeholders on data models
- Design ETL/ELT pipelines
- Develop Snowflake data platform objects
- Implement automated data quality controls and monitoring
- Implement dimensional modeling
- Ingest data from REST APIs relational databases SaaS flat files and cloud storage
- Maintain pipeline and process documentation
- Monitor pipelines diagnose performance issues
- Optimize Snowflake workloads and queries
- Support data governance, security, and compliance
Perks/Benefits
- Company sponsored exams
- Company-sponsored certifications
- Company-sponsored coursework
- 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 | Data integration | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | PySpark | Python | REST APIs | Relational databases | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | Virtualization | “as-code”
Education
Roles
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