Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Build dimensional data models
- Collaborate on logical and physical data models
- Collaborate with data architects and stakeholders
- Design ETL/ELT pipelines
- Develop data ingestion frameworks
- Develop data ingestion transformation and loading processes
- Diagnose performance issues and support production incidents
- Enforce data governance and security policies
- Extract ingest data from REST APIs and databases
- Implement Snowflake data platform objects
- Implement data quality controls and monitoring
- Maintain pipeline documentation
- Monitor optimize SQL queries and pipeline SLAs
- Optimize Snowflake performance and cost
Perks/Benefits
- Company sponsored certifications and exams
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training opportunities
Skills/Tech-stack
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 | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Stages | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Tableau | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Regions
Countries
States
Cities
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