Senior Software Engineer, Data & Platform Services
Tasks
- Build data pipelines
- Convert SQL workloads
- Develop reporting business intelligence
- Enhance observability monitoring
- Implement data validation testing
- Improve reliability SLO SLA
- Migrate data pipelines
- Modernize data platform
- Optimize data workflows
- Participate in on-call rotation
- Re architect ETL workflows
Perks/Benefits
- Additional pension scheme
- Annual bonus
- ESPP
- Equipment reimbursement
- Flexible paid time off
- Internet reimbursement
- Mobile reimbursement
- On-call rotation
- Paid care days
- Paid public holidays
- Professional development resources
- Remote-first
- Volunteering days
Skills/Tech-stack
APIs | Apache Airflow | Batch Data Processing | Batch data | Cloud Storage | Cloud platform | Connectors | Data Processing | Data Quality | Databricks | Delta Lake | Distributed Systems | ETL | Event Driven | Event-driven architecture | GKE | Google Cloud | Google Cloud Platform | Google Cloud Storage | Hadoop | Hive | Impala | Incident Response | Kubernetes | MapReduce | Microservices | Monitoring | Observability | Python | Real Time | Real-time Data | Real-time Data Processing | SLAs | SLO | SQL | Spark SQL | Testing | Webhooks
Education
N/A
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