Vacancy caducado!
please send resumes to latha.menon(AT)marlabs.comKnowledge of Data models for Graph databases e.g., Neo4j, Amazon Neptune.
- Graph Data modeling and query optimization expertise.
- Master, Reference and Metadata Management, Data Quality, Integration of Graph data.
- Experience in Graph database Backup, recovery, performance monitoring, tuning, export, and import.
- Query Languages for Property-Graph and Relational databases e.g., Gremlin, Cypher, SQL, GraphQL
- Experience in real time Data ingestion pipelines.
- Proficiency in implementing graph data science algorithms.
- Expertise in Cypher/Gremlin scripting skills with query optimization.
- Collaborate with other software engineers, domain experts, and end-users, to build the right solutions that address our business needs.
- Graph database development experience for large-scale analytics.
- Participate in design, scoping, implementation, and testing in short agile release cycles
- Graph database(Neo4j), NoSQL database, Relational database, ETL processing tools.
- Graph Data modeling.
- Experience in different libraries available for graph data manipulation and analysis (such as GDS and APOC libraries in Neo4J.)
- Proficiency with at least one of the following for each: Cosmos DB, neo4j or another graph database.
- Experience working with cloud components related to graph databases.
- Hands-on experience in JavaScript, NodeJS.
- Experience in different Modeling tools.
- CI/CD experience with: Git, Containers, Dockers
- Experience on Real-time or near real-time data pipelines.