Data Engineers - Neo4J Graph Db and Python expert

As a Knowledge Graph Developer, your role involves designing, developing, and maintaining knowledge graphs using Neo4j or similar graph database technologies. You will be responsible for structuring complex data relationships for optimized querying and analysis. Your key responsibilities include: - Designing and developing knowledge graphs using Neo4j or similar graph database technologies. - Creating and refining data models and schemas to effectively represent complex entities and relationships in the graph database. - Implementing ETL pipelines to populate knowledge graphs from multiple data sources, leveraging tools like Apache Airflow for automated data integration. - Developing and optimizing full stack applications, integrating frontend and backend systems to enable smooth, data-driven functionality. - Optimizing graph queries and improving system performance to ensure efficient data retrieval and scalability. - Working with product experts, analysts, and stakeholders to generate insights from knowledge graphs and contribute to data-driven decision-making. - Designing and maintaining CI/CD pipelines to streamline deployment, testing, and integration of applications and data solutions. In order to excel in this role, you should have the following skills and qualifications: - Proficiency in Neo4j or similar graph databases and query languages like Cypher. - Strong data modeling skills for both relational and graph database schemas. - Hands-on experience with ETL processes and data integration using tools such as Airflow. - Proficiency in programming languages like Python and/or Java, with a strong understanding of software development practices. - Knowledge of full stack development, including frontend and backend technologies. - Experience with CI/CD pipeline design and implementation for seamless deployment and integration. - Excellent problem-solving abilities and a strategic approach to data engineering and knowledge graph optimization. - Strong communication skills with the ability to collaborate across teams, gather requirements, and translate business needs into technical solutions. Preferred qualifications include familiarity with additional cloud platforms, preferably Azure, for deploying and managing data solutions. Certifications in data engineering, cloud technologies, or related fields are a plus. To be eligible for this role, you should have a Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's preferred) and at least 5 years of experience in software development or related fields. Additionally, you should have an understanding of designing and implementing graph databases and knowledge graph solutions.,