Edge & Node · 1 day ago
Data Systems Engineer, Rust
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Responsibilities
Leveraging and contributing to Apache DataFusion, closely monitoring upstream developments and becoming familiar with its codebase.
Implementing storage strategies for blockchain and other web3 data sources, while leveraging industry standard formats and keeping in mind their tradeoffs.
Developing the internals of a streaming processing system. Given the streaming nature of blockchains, you must understand incremental techniques to update outputs with each new block.
Applying resource isolation in a multi-tenant environment for resources such as CPU, RAM and storage.
Building data transformation pipelines specifically for blockchain data and implementing operations like aggregations and joins for streamlined usage.
Optimizing compaction and garbage collection processes for performance and resource efficiency particularly in multi-tenant and high-throughput database systems.
Developing supportive tooling, including tracing and profiling.
Qualification
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Required
Experience in database system internals.
Adaptability to a dynamic and fully-remote work environment.
Rigorous approach to software development that reflects a commitment to excellence.
Preferred
Rust familiarity is highly desirable.
Knowledge of Apache DataFusion and the related ecosystem is highly desirable.
General knowledge of distributed data systems and resource management is highly desirable.
Background with data ingestion from blockchain or other high-throughput sources is a plus.
Company
Edge & Node
Edge & Node is the initial team behind The Graph.
Funding
Current Stage
Early StageRecent News
2023-11-08
2023-03-01
Business Journals
2022-10-26
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