Senior Data Engineer
Tasks
- Build and maintain Elasticsearch based platforms
- Build and maintain graph data store for hierarchical data
- Build automated data loading transformation validation pipelines
- Create data schemas indexing strategies and partitioning
- Deploy operate and optimize Elasticsearch and graph databases on Kubernetes
- Design data management solutions for analytics and AI ML
- Develop and monitor automated system integration tests
- Develop scalable ingestion pipelines for graph analytics
- Integrate graph and search services into microservices
- Optimize search and graph infrastructure for high availability and performance
- Participate in SAFe Agile sprint planning design reviews and demos
Perks/Benefits
- Career development funds
- Charitable match
- Flexible schedule
- Generous PTO
- Health and wellness allowance
- Living Our Values awards
- On site work with occasional remote work
- Referral program
- Retirement 401k match
- Volunteer time off
Skills/Tech-stack
Amazon Neptune | Apache Kafka | Authentication & Authorization | CI/CD | CloudFormation | Community Detection | Data Modeling | ELT | ETL | Elasticsearch | Graph Centrality | Graph analytics | Graph traversal | Infrastructure as Code | JanusGraph | Java | Keycloak | Kubernetes | Link prediction | Linux | Memgraph | Microservices | Neo4j | OpenSearch | Pulumi | Python | Secrets management | Similarity Analysis | Terraform | TigerGraph | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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