Sr. Data Platform Engineer (Hybrid)
Sunnyvale, United States
R
USD 140K-215K Senior-level Full Time Found 16d ago
Tasks
- Architect and implement ETL pipelines for data integrity and performance
- Build scalable data applications with Apache Spark and Flink
- Collaborate with SRE teams to ensure high data service availability
- Deploy and manage applications on Kubernetes
- Design and develop disaster recovery and data replication solutions
- Design fault-tolerant data replication systems across regions
- Drive deployment automation, testing, and operational excellence
- Implement infrastructure-as-code for disaster recovery environments
- Implement monitoring, alerting, and recovery mechanisms
- Lead technical roadmap for disaster recovery infrastructure
- Mentor engineering teams in distributed systems and data platform technologies
- Optimize data workflows for exponential data growth
Perks/Benefits
- Employee networks
- Office amenities
- Parental and adoption leaves
- Professional development
- Vacation and holidays
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
AWS | Apache Flink | Apache Spark | Azure | CI/CD | Cloud Platforms | Container Orchestration | Cybersecurity | Data Architecture | Data Governance | Data Processing | DevOps | Distributed Systems | Fault Tolerance | GCP | GitOps | Helm | Java | K8s | Kubernetes | Monitoring Tools | NoSQL | Open Source | Open-source contributions | Performance Tuning | Python | Reliability Engineering | SQL | Site Reliability | Site Reliability Engineering | Stateful processing
Education
Regions
Countries
States
Cities
Language: en |
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