
Senior Data Intelligence Engineer
1 week ago
We are seeking a seasoned technical leader to spearhead the development of our data intelligence platform.
The ideal candidate will have extensive experience in distributed computing, big data systems, and entity resolution at scale. They will lead the architecture and implementation of our Entity Resolution and Network Generation services, ensuring seamless integration between them.
Key Responsibilities:
- Entity Resolution Service: Design and implement distributed entity resolution algorithms capable of processing billions of records. Develop blocking strategies optimized for Spark at scale and create ML-enhanced matching with explainable AI for match decisions.
- Network Generation Service: Architect distributed graph generation pipelines using GraphX/GraphFrames and implement graph analytics algorithms. Design storage strategies for multi-billion edge graphs in Parquet/distributed file systems.
Required Skills:
- Distributed computing and big data systems
- Entity resolution at scale
- Expert-level Scala programming skills
- Apache Spark 3.x
- Elasticsearch 8.x
- Kubernetes orchestration
- Scalability and performance optimization
Domain Knowledge:
- Blocking algorithms and their trade-offs
- Probabilistic record linkage and similarity measures
- Graph algorithms and their distributed implementations
Benefits:
- Competitive compensation package
- Flexible remote work arrangements
- Latest hardware and cloud resources
- Long-term Incentive Plan (LTIP)
Interview Process:
- Technical screen on distributed systems and graph algorithms
- System design session on entity resolution at scale
- Coding session implementing a graph algorithm in Scala
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