Principal Data Engineer
Tasks
- Apply relevance measurement metrics
- Architect core data infrastructure
- Build and manage Knowledge Graphs
- Build semantic search pipelines
- Build vector and graph search systems
- Collaborate with product and data science on AI data systems
- Coordinate offshore engineers with code reviews
- Design OLAP and OLTP systems
- Enable RAG and graph RAG systems
- Ensure data governance quality observability and documentation
- Implement entity recognition and normalization
- Integrate structured and unstructured data
- Operationalize ML models in production
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Employee assistance program
- Life insurance
- Medical insurance
- Paid Holidays
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | Airflow | Amazon Neptune | Amazon SQS | Apache Kafka | Apache Kafka Streams | Apache Spark | Azure | Cloud PubSub | DCG | Data Deduplication | Entity Disambiguation | Entity recognition | GCP | Google Cloud | Google Cloud PubSub | Google Spanner | Graph Search | Hybrid search | Kafka | Kafka Streams | Knowledge graph | Message Queues | NDCG | Neo4j | Neural ranking | Node.js | OLAP | OLTP | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic Search | Similarity Search | Streaming Data | TypeScript | Vector Search
Education
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
Regions
Countries
States
Cities
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