Senior Data Engineer
Tasks
- Build infrastructure as code
- Build scalable data architecture
- Create ML and AI infrastructure
- Define data models and data contracts
- Design cloud data platform
- Develop data pipelines (batch and streaming)
- Develop data quality observability solutions
- Ensure data quality and reliability
- Implement ETL/ELT workflows
- Implement monitoring alerting and SLA management
- Improve platform performance scalability and operational efficiency
- Integrate internal and third-party APIs
- Maintain analytical data marts
- Set up CI CD automation
Perks/Benefits
- Conference support
- Course support
- English learning support
- Flexible hours
- Paid time off
- Performance reviews
- Remote or hybrid work
- Retreats
- Team awards
Skills/Tech-stack
Alerting | Apache Airflow | BigQuery | CI/CD | Cloud platform | Composer | Data Modeling | Data Quality | Data Warehouse | Dataflow | Distributed Systems | Docker | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Medallion Architecture | Monitoring | Observability | PubSub | Python | REST APIs | SLA management | SQL | Streaming Architecture | Terraform | “as-code”
Education
N/A
Roles
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