Principal Data Engineer - LATAM - English Required
Tasks
- Architect cloud-native data solutions
- Collaborate to deliver production ready datasets
- Conduct code reviews and mentor data engineers
- Define enforce data engineering best practices
- Design build maintain large scale data platforms
- Drive data modeling strategies
- Establish monitoring observability testing data quality
- Implement data security privacy compliance standards
- Implement orchestration frameworks
- Lead development of ETL/ELT pipelines
- Lead technical discussions and architectural decisions
- Optimize data pipelines performance scalability reliability cost
- Support analytics machine learning marketing intelligence initiatives
Perks/Benefits
- Access to courses and certifications
- Birthday day off
- English classes
- Great Place to Work certification
- Home office
- IT meetups
- Life insurance
- Major medical insurance
- Monday to Friday work schedule
- Multicultural work environment
- Remote work
Skills/Tech-stack
AWS | Airflow | Azure | CI/CD | Cloud platform | DBT | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Preparation | Data Privacy | Data Quality | Data Security | Data Vault | Data Warehouse | ELT | ETL | Google Cloud | Google Cloud Platform | Machine Learning | Machine Learning Data Preparation | Machine learning data | Monitoring | Observability | Python | SQL | Snowflake Schema | Star Schema | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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