Data Engineer
PLN 216K-267K (estimate) Senior-level Full Time
Tasks
- Build data layers bronze and silver
- Collaborate with Analytics Data Science and Research
- Create technical documentation
- Design data pipelines in Python
- Develop GCP processing services
- Implement monitoring and alerting
- Integrate data from APIs and marketing systems
- Maintain code in GitHub
- Model data and write BigQuery queries
- Optimize data for reporting and analytics
- Set up retries and data validations
- Support customer integration and migrations
Perks/Benefits
- Cafeteria NAIS
- Day care
- Development programs
- Gym and fitness room
- Hybrid work mode
- Life insurance
- Medical insurance
- Onboarding training
- Paid volunteering days
- Summer Fridays
- Wellness days
Skills/Tech-stack
API Integration | Apache Airflow | Bash | BigQuery | CI/CD | Cloud Composer | Cloud Dataproc | Cloud Functions | Cloud Run | Cloud Storage | Cloud platform | Data Modeling | Data Quality | Data Validation | DataOps | Dataform | Docker | Event Driven | Event-driven architecture | GitHub | Google Cloud | Google Cloud Platform | Google Cloud Storage | Infrastructure as Code | Kafka | Linux | Log Management | Monitoring | Observability | Powershell | PubSub | PySpark | Python | REST APIs | Shell | Spark | Spark SQL | Streaming Data | Terraform | Test automation | “as-code”
Education
N/A
Roles
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