Visionary Data Architect
1 week ago
Step into the Future of Blockchain Technology as a Visionary Data Architect: Real-time Data Insights
Sage Recruiting is seeking an experienced engineer to spearhead their innovative real-time data analytics initiative. Our client, a data-focused organization dedicated to real-time analytics for decentralized applications (dApps), is looking for an expert in creating sophisticated systems capable of efficiently managing large data volumes.
The successful candidate will be responsible for designing and developing an advanced Data Analytics and Streaming product. This role offers a unique opportunity to lead a project that combines cloud technology and data analytics within the evolving landscape of blockchain.
Key Responsibilities:
- Architectural Design: Develop the foundational architecture for our real-time data analytics platform, focusing on scalability, reliability, and efficiency.
- Cloud Resource Management: Optimize and manage cloud resources using GCP or AWS to seamlessly process substantial data volumes.
- Binary Serialization/Deserialization: Develop and maintain systems for binary serialization and deserialization, ensuring efficient handling of large datasets in real-time.
- Data Streaming and Processing: Lead the streaming of data, converting it back to its original format while maintaining a continuous flow of real-time insights.
- Database Optimization: Enhance database performance for quicker read operations, improving the overall efficiency of the analytics system.
Requirements:
- 7-10+ years of software engineering experience.
- Proficiency in Rust programming language.
- Expertise in SQL.
- Extensive knowledge of Apache Kafka for real-time data streaming and processing.
- Experience with cloud platforms such as GCP (Google Cloud Platform) or AWS (Amazon Web Services).
- Expertise in techniques for binary serialization/deserialization.
- Experience with Blockchain (preferably Solana).
- Strong database management skills with practical experience in PostgreSQL, ClickHouse, and Redis.
- Demonstrated capability in schema design and query optimization for effective data storage and retrieval.
- Comprehensive understanding of financial markets, including relevant data structures and analytics.
Our Ideal Candidate:
- A self-driven individual with a proactive approach to problem-solving.
- High productivity and ability to work efficiently.
- Critical thinking skills to tackle complex issues and develop practical solutions.
Estimated Salary: $170,000 - $200,000 per year, depending on location and experience.
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