Title NEO4J

As a Graph Database Developer, you will be responsible for designing, developing, and maintaining graph database schemas using Neo4j. You will optimize Neo4j queries for performance and efficiency. Utilizing Python, PySpark, or Spark SQL, you will conduct data transformation and analysis. Your role will also involve conducting User Acceptance Testing (UAT) to ensure data accuracy and overall system functionality. Additionally, you will develop and manage scalable data pipelines using Databricks and Azure Data Factory (ADF). Working with Azure cloud services and being familiar with Azure data engineering components will be a crucial part of your responsibilities. Key Responsibilities: - Design, develop, and maintain graph database schemas using Neo4j - Optimize Neo4j queries for performance and efficiency - Utilize Python, PySpark, or Spark SQL for data transformation and analysis - Conduct User Acceptance Testing (UAT) to ensure data accuracy and overall system functionality - Develop and manage scalable data pipelines using Databricks and Azure Data Factory (ADF) - Work with Azure cloud services and be familiar with Azure data engineering components Desired Skills: - Strong experience with Neo4j and Cypher query language - Proficient in Python and/or PySpark - Hands-on experience with Databricks and Azure Data Factory - Familiarity with data engineering tools and best practices - Good understanding of database performance tuning - Ability to work in fast-paced, client-driven environments Additionally, the job requires skills in Azure, data engineering tools, Neo4j, PySpark, Azure Data Factory, Spark SQL, Databricks, cloud, database performance tuning, Cypher query language, and Python.,