Software Engineer, Data Acquisition
Builds and leads data acquisition systems including web crawling, ingestion, and scalable distributed processing for model training. Requires 4+ years experience, expertise in Kubernetes and large-scale data systems, and BS/MS/PhD in Computer Science.
About the job
Responsibilities
- Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search.
- Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability.
- Work closely with the legal team to handle any compliance or data privacy-related matters.
- Develop and deploy highly scalable distributed systems capable of handling petabytes of data.
- Architect and implement algorithms for data indexing and search capabilities.
- Build and maintain backend services for data storage, including work with key-value databases and synchronization.
- Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.
- Conduct and analyze experiments on data to provide insights into system performance.
Qualifications
- BS/MS/PhD in Computer Science or a related field.
- 4+ years of industry experience in software development.
- Experience with large web crawlers a plus.
- Strong expertise in large stateful distributed systems and data processing.
- Proficiency in Kubernetes, and Infrastructure-as-Code concepts.
- Willingness and enthusiasm for trying new approaches and technologies.
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
Skills
Kubernetes, Distributed Systems, Web Crawling, Data Processing, Infrastructure As Code, Key-Value Databases, Data Indexing, Search Algorithms, Backend Services, Data Ingestion
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