Data Engineer
Tasks
- Build data processing pipelines
- Build test and maintain data systems
- Conduct code review and CI CD
- Design data products
- Design data schemas and data models
- Develop SQL and NoSQL databases
- Implement message brokers
- Maintain ETL/ELT processes
- Optimize data processing cost and efficiency
- Write code following code standards
Perks/Benefits
- English classes
- Flexible working hours
- Hackathons
- Health benefits
- Hybrid work
- Insurance
- Lunch packages
- Modern equipment
- Purchase vouchers
- Remote work days
- Sports benefits
- Training budget
- Volunteering day off
Skills/Tech-stack
Apache Airflow | Batch Processing | CI/CD | Clean Code | Cloud Data | Cloud Data Warehouse | Cloud data warehouse architecture | Cloud platform | Code review | Data Modeling | Data Pipelines | Data Warehouse Architecture | Data Warehousing | Data models | Data schemas | Docker | ELT | ETL | GCP | GitHub | GitHub Actions | Google Cloud | Google Cloud Platform | Kubernetes | Message Brokers | NoSQL | PySpark | Python | SQL | Service Mesh | Streaming Data | Warehouse Architecture
Education
N/A
Roles
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