Data Engineer

Role Description: Data Engineer – Neo 4J The ideal candidate is a hands-on technology developer with experience in developing scalable applications and platforms. They must be at ease working in an agile environment with little supervision. The person should be a self-motivated person with a passion for problem solving and continuous learning. Experience: 3 – 10 Years 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