
Graph Database Developer at Qode. Role and responsibilities. · Build Graph Database solutions leveraging large-scale datasets to solve various business use cases.. · Design and build graph data models to support variety of use cases including knowledge graphs. · Design and build graph database load processes to efficiently populate the graph database. · Strong organizational skills, with the ability to work autonomously as well as in a team-based environment. · Data pipeline framework development. . Technical skills requirements. The candidate must demonstrate proficiency in,. · Solid understanding of graph data modeling, graph schema development, graph data design.. · Graph data modeling (Experience with graph data models) and graph languages (Cypher, Gremlin, SparQL), exposure to various graph data modeling techniques). · Candidate should have hands-on . experience with Neo4j database and the Cypher query language. . . · Candidate should know basic network science concepts and graph algorithms.. · Candidate should be able to write efficient & accurate Cypher queries to solve business problems.. · Candidate should have a strong understanding of how graph data looks like and how it can be created from relational data.. · Candidate should be able import data into Neo4j effectively and handle Neo4j database instances.. · Fluency in complex SQL and experience with RDBMSs.. · . Project Experience in Python, Spark, PySpark, Scala, Python, NiFi, Hive, NoSql DBs.. . · Deep understanding of representing relational models using a graph data base for large clusters of nodes.. · Relevant experience in general data base design with emphasis on graph storage models.. · Should be able to write efficient & accurate Cypher queries to solve business problems.. · Experience working on any . Databricks would be added advantage.. . · Solid grounding in Agile methodologies.. · Experience with git and other source control systems.. . Nice-to-have skills. · Neo4j Certified Developer Certification. . · Design and build graph data models to support variety of use cases including knowledge graphs.. · Strong delivery background across the delivery of high-value, business-facing technical projects in major organizations.. · Experience of managing client delivery teams, ideally coming from a Data Engineering / Data Science environment.. Qualifications. B.Tech./M.Tech./MS or BCA/MCA degree from a reputed university. Company Location: India.