Distributed Graph Computing Leader

2 weeks ago

alwar, India beBeeLeader Full time

Job OverviewThis is a hands-on technical leadership position focused on architecting and implementing distributed graph computing solutions processing billions of entities and relationships for a next-generation data intelligence platform using a microservices architecture.The successful candidate will lead the development of the Entity Resolution and Network Generation services.The engineer is expected to be performance-obsessed, think in distributed systems, optimize for latency and throughput, and act as a self-directed technical leader who makes architectural decisions and implement them.ResponsibilitiesDesign and implement distributed entity resolution algorithms to process billions of records.Build blocking strategies (e.g., LSH, canopy clustering) optimized for Spark at scale.Create AI/ML based advanced matching with explainable AI (XAI).Implement incremental resolution supporting real-time and batch modes.Design APIs for entity lookup with sub-100ms latency requirements.Assist the team in building dynamic entity resolution with embedded graph knowledge of GNN and GT (Graph transformers).Skills Required3+ years of experience in distributed computing and big data systems.2+ years' experience in entity resolution and graph analytics at scale.Strong understanding of blocking algorithms, probabilistic record linkage, and similarity measures.Ability to design and optimise large Apache Spark workloads.Ability to implement graph algorithms in distributed computing frameworks such as Apache Spark, Dask or equivalent with optimised queries and storage formatsHave a good understanding of Open Cypher , Gremlin or equivalent.Familiar with Elasticsearch or equivalent for fast search and pattern matching.Understanding of AI/ML applications to entity resolution.What We OfferImpact: You will shape the architecture of an essential platform for enterprise decision-making.Innovation: The role offers the chance to work on advanced network graph technologies, big data pipelines, and cutting-edge AI/ML technologies.Growth: You will influence core engineering and play a central role in building the early team.Learning: Comprehensive onboarding on its ecosystem. Continuous learning opportunities and mentorship from senior Data Analytics & AI practitioners.Flexibility & Equity: Great base salary, significant early-stage equity, learning resources, and a high-impact remote-first culture.

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