Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling for data warehouses
- Build reusable data ingestion frameworks
- Collaborate with data architects and stakeholders on data models
- Design ETL/ELT pipelines
- Develop data ingestion transformations loading
- Diagnose production issues and resolve incidents
- Establish data engineering standards and best practices
- Implement Snowflake data objects
- Implement automated data quality controls monitoring
- Ingest data from REST APIs relational databases SaaS flat files cloud storage
- Integrate Snowflake with Azure services
- Maintain pipeline and data model documentation
- Manage CI/CD pipelines using Git
- Monitor and optimize SQL queries and pipeline performance
- Optimize Snowflake workloads
- Support data governance and security compliance
- Support data lake and lakehouse architecture
Perks/Benefits
- Company-sponsored certifications
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Access Controls | Agile | 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 Quality | Data Security | Data Sharing | Data Vault | Data masking | Dimensional Modeling | ELT | ETL | Git | Incident Management | Infrastructure as Code | Key Vault | Performance optimization | Power BI | PySpark | Python | REST APIs | Relational databases | SQL | STAGES | Secure Data | Secure Data Sharing | Snowflake | Snowpipe | Star Schema | Streams | Tableau | Tasks | Terraform | Time Travel | Virtual Warehouse | “as-code”
Education
N/A
Roles
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