Graph Data Engineer

We are seeking a skilled Graph Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing and implementing graph databases, particularly using Neo4j and Cypher. As a Graph Data Engineer, you will be responsible for developing and maintaining knowledge graphs that support various business applications. Your expertise in Python and PySpark will be crucial in building ETL processes that ensure data integrity and availability. Key Responsibilities: - Design, develop, and optimize graph database solutions using Neo4j. - Write efficient queries in Cypher to extract and manipulate data. - Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications. - Implement ETL processes to integrate data from various sources into the graph database. - Maintain and enhance existing graph data models and ensure data quality. - Stay updated with the latest trends and technologies in graph databases and data engineering. Required Skills: - Proficiency in Neo4j and Cypher. - Strong programming skills in Python. - Experience with PySpark for data processing. - Knowledge of ETL processes and data integration techniques. - Familiarity with knowledge graphs and graph database concepts. - Excellent problem-solving skills and attention to detail. If you are passionate about data engineering and have a strong background in graph databases, we would love to hear from you. Join us in leveraging the power of graph data to drive insights and innovation.