Senior Software Engineer, Data & Platform Services
Tasks
- Build analytics and business intelligence platforms
- Convert SQL workloads
- Define reliability targets SLO SLA
- Design data pipelines
- Handle incident response
- Implement data validation
- Implement testing strategies
- Improve observability monitoring
- Lead data platform modernization
- Migrate data pipelines
- Optimize data workflows
- Re architect ETL workflows
- Support on-call rotation
Perks/Benefits
- Flexible paid time off
- Internal Professional Development Resources
- Internet reimbursement
- Mobile reimbursement
- Paid public holidays
- Remote-first work model
- Volunteering days
Skills/Tech-stack
APIs | Apache Airflow | Apache Hive | Apache Impala | Apache Spark | CI/CD | Cloud Storage | Cloud platform | Connectors | Data Quality | Databricks | Delta Lake | Distributed Systems | ETL | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Google Cloud Storage | Google Kubernetes | Google Kubernetes Engine | Hadoop | Kubernetes | Kubernetes Engine | MapReduce | Monitoring | Observability | Python | SLAs | SLO | SQL | Spark SQL | Webhooks
Education
N/A
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