Graph Data Engineer - Neo4j

<p><p><b>Job Description :</b><br/><br/>This is a remote position.<br/><br/><b>Graph Data Engineer :</b><br/><br/><b>Role :</b> Graph Data Engineer<br/><br/><b>Experience :</b> 3 to 5 years<br/><br/><b>Mandatory Skill :</b> Graph Data Engineer, Neo4j (Minimum 1 year required), GCP, Graph data models (LPG, RDF)<br/><br/><b>Notice :</b> Maximum 30 Days<br/><br/><b>Hiring Location :</b> PAN India<br/><br/><b>Job Description :</b><br/><br/>We are seeking a skilled Graph Data Engineer to join our team for a complex Supplier Chain Project.<br/><br/> As a Graph Data Engineer, you will be responsible for implementing and optimizing data solutions in the Graph DB space.<br/><br/> You will work with Neo4j and GCP technologies to model and manage graph data, enabling advanced analytics and visualization for the Supplier Chain Project.<br/><br/><b>Key Required Skills :</b><br/><br/>- Proficiency in graph data modeling, including experience with graph data models (Labeled Property Graphs - LPG, Resource Description Framework - RDF) and the graph query language Cypher.<br/><br/>- Strong experience with Neo4j, including working with Neo4j Aura and optimizing complex queries for performance.<br/><br/>- Familiarity with Google Cloud Platform (GCP) stacks such as BigQuery, Google Cloud Storage (GCS), and Dataproc.<br/><br/>- Desirable : Experience in PySpark and SparkSQL for data processing and analysis.<br/><br/>- Ability to expose graph data to visualization tools like Neo Dash, Tableau, and Power BI.<br/><br/><b>The Expertise You Have :</b><br/><br/>- Bachelors or masters degree in a technology-related field (e.g., Engineering, Computer Science, etc.)<br/><br/>- Demonstrable experience in designing and implementing data solutions in the Graph DB space.<br/><br/>- Hands-on experience with graph databases, particularly Neo4j (preferred) or any other.<br/><br/>- Experience in tuning graph databases for performance optimization.<br/><br/>- Profound understanding of graph data model paradigms (LPG, RDF) and graph query language (Cypher).<br/><br/>- Strong grasp of graph data modeling, schema development, and data design.<br/><br/>- Proficiency in relational databases and hands-on SQL experience.<br/><br/><b>Desirable (Optional) Skills :</b><br/><br/>- Knowledge of data ingestion technologies (ETL/ELT) and messaging/streaming technologies (GCP Data Fusion, Kinesis/Kafka).<br/><br/>- Experience with API development and in-memory technologies.<br/><br/>- Understanding of developing highly scalable distributed systems using open-source technologies.<br/><br/>- Prior experience in Supply Chain Data is desirable but not essential</p><br/></p> (ref:hirist.tech)