
Building Ambitious Distributed Graph Systems
5 days ago
We are seeking a Senior Graph Engineer to join our team and contribute to the development of our next-generation data intelligence platform. As a Senior Graph Engineer, you will play a key role in designing and implementing distributed graph computing solutions that can process billions of entities and relationships.
The ideal candidate will have a strong background in distributed systems and big data processing, with expertise in graph algorithms and their distributed implementations. You will be responsible for architecting and implementing distributed graph generation pipelines using GraphX/GraphFrames, as well as designing storage strategies for multi-billion edge graphs in Parquet/distributed file systems.
In addition to your technical expertise, you will also be expected to work closely with cross-functional teams to ensure seamless integration between entity resolution and network generation services. You will also be responsible for mentoring other engineers on distributed graph algorithms and contributing to the advancement of graph computing within our organization.
Key Responsibilities:
- Design and implement distributed graph computing solutions for entity resolution and network generation.
- Architect and implement distributed graph generation pipelines using GraphX/GraphFrames.
- Design storage strategies for multi-billion edge graphs in Parquet/distributed file systems.
- Work closely with cross-functional teams to ensure seamless integration between entity resolution and network generation services.
- Mentor other engineers on distributed graph algorithms.
Requirements:
- 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.
- Production experience with Elasticsearch for search and matching.
- Proven track record building systems processing billions of entities/edges.
Preferred Qualifications:
- PhD in Computer Science or related field with focus on graphs/entity resolution.
- Contributions to open-source projects (especially Spark, GraphX, Elasticsearch).
- Experience with graph databases (Neo4j, Neptune, JanusGraph) or equivalent.
- Publications or conference talks on entity resolution or graph analytics.
What We Offer:
- Competitive senior/staff-level compensation.
- Flexible remote work arrangements.
- Latest hardware and cloud resources for development.
- LTIP - Long term Incentive plan.
- Equity potential of up to USD 150K every year.
How to Apply:
- Links to relevant open-source contributions.
- Brief description of the largest graph system you've built (nodes/edges scale).
- Your approach to a specific entity resolution challenge you've solved.
- Any publications or talks on graph computing or entity resolution.
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