Posted in Other 7 days ago.
Senior Graph Database Engineer
Remote (EST timings)
1 year contract
Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.).
Demonstrable experience in implementing Big data solutions in data analytics space.
Working experience with knowledge graphs/graph databases (Neo4j preferred).
Expertise with Graph database technology (Neo4J preferred)
Experience Tuning Graph databases (Neo4j preferred)
Experience with graph data models (LPG, RDF) and graph languages (Cypher, Gremlin, SparQL), exposure to various graph data modeling techniques for common use cases (e.g., Customer 360, data lineage, recommenders) for analytical (OLAP) workloads.
Solid understanding of graph data modeling, graph schema development, graph data design.
Experience developing graph algorithms, optimizing complex queries, designing indexes and constraints.
Experience developing APIs using knowledge graph data
Experience in designing and building highly scalable Knowledge Graphs in production
Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.
Solid understanding of developing highly scalable distributed systems using Open-source technologies.
Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
Solid experience in Agile methodologies (Kanban and SCRUM).
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