Distributed Data Architect

6 days ago

india beBeeDataScientist Full time

Job OverviewThis senior technical leadership role focuses on designing and implementing distributed graph computing solutions processing massive datasets for a next-generation data intelligence platform using microservices architecture.The successful candidate will lead the development of entity resolution and network generation services. Key responsibilities include:Designing distributed entity resolution algorithms to process large volumes of recordsBuilding blocking strategies optimized for Spark at scaleCreating AI/ML-based advanced matching with explainable AI (XAI)Implementing incremental resolution supporting real-time and batch modesDesigning APIs for entity lookup with sub-100ms latency requirementsKey RequirementsTo be considered for this role, candidates should possess 3+ years of experience in distributed computing and big data systems, 2+ years of experience in entity resolution and graph analytics at scale, and strong understanding of blocking algorithms, probabilistic record linkage, and similarity measures.Preferred QualificationsCandidates with a Master or PhD in Computer Science or related field, experience with architecture design and implementation of large scaled Graph databases, and track record in building systems processing millions of entities/edges are highly desirable.Additional InformationAs a leader in this role, you will have the opportunity to drive innovation and make a significant impact on our data intelligence platform.

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