GCP Lead Engineer
Tasks
- Collaborate with architecture infrastructure security and analytics teams
- Define platform roadmaps and future state architecture
- Design support scalable data pipelines for ingestion processing storage analytics
- Develop automation monitoring and operational processes
- Drive modernization on Google Cloud Platform
- Establish engineering best practices for scalability performance security and operations
- Evaluate emerging technologies for AI and machine learning initiatives
- Lead design implement optimize enterprise real time and batch data platforms
- Provide technical leadership mentorship to data engineering teams
- Support and optimize distributed data platforms for streaming search caching and data processing
Perks/Benefits
- N/A
Skills/Tech-stack
Automation | Batch Data Processing | Batch data | Bigtable | Cloud Composer | Cloud platform | Data Processing | Data pipeline | Dataproc | DevOps | Distributed Systems | ELK Stack | Elasticsearch | GenAI | Google Cloud | Google Cloud Platform | HBase | Hadoop | Infrastructure automation | Kafka | Machine Learning | Monitoring | Observability | PubSub | Python | Real Time | Real-time Data | Real-time Data Processing | Redis | Streaming Analytics
Education
N/A
Roles
Data Engineer | Engineer | GCP Engineer | Lead | Lead Data | Lead Data Engineer | Lead GCP Engineer
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