
Senior Distributed Computing Expert
3 days ago
About Our Company
We're seeking an experienced professional to lead the development of our Entity Resolution and Network Generation services, leveraging a microservices architecture and cloud-native platform.
Key Responsibilities:
- Entity Resolution Service:
- Design and implement distributed entity resolution algorithms for processing billions of records.
- Build blocking strategies optimized for Spark at scale.
- Develop fuzzy matching algorithms leveraging Elasticsearch's capabilities.
- Create ML-enhanced matching with explainable AI for match decisions.
- Network Generation Service:
- Architect distributed graph generation pipelines using GraphX/GraphFrames.
- Implement graph analytics algorithms (PageRank, community detection, centrality measures).
- Design storage strategies for multi-billion edge graphs in Parquet/distributed file systems.
- AI Model Development:
- Build Graph Neural Networks (GNNs): Develop GNN models using PyTorch Geometric or DGL to analyze corporate and transaction networks.
- Implement Entity Resolution: Design algorithms for fuzzy matching, semantic matching (Sentence-BERT), and clustering to unify entities across heterogeneous data sources.
Required Skills and Qualifications
- 7+ years of experience in distributed computing and big data systems.
- 5+ years specifically in entity resolution and graph analytics at scale.
- Expert-level Scala programming skills.
- Deep experience with Apache Spark, including custom optimizations.
Benefits
- Competitive compensation package.
- Flexible remote work arrangements.
- Latest hardware and cloud resources for development.
What We're Looking For
A technical leader who can make architectural decisions and implement them, ensuring seamless integration between entity resolution and network generation.
Our ideal candidate is a self-directed engineer who can own large technical initiatives end-to-end, with a strong understanding of distributed systems and graph algorithms.
If you're passionate about pushing the boundaries of what's possible with distributed graph computing, we want to talk to you.
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