Title NEO4J

Job Description: As a Graph Database Developer, your primary role will involve designing, developing, and maintaining graph database schemas using Neo4j. You will be responsible for optimizing Neo4j queries for performance and efficiency. Additionally, you will utilize Python, PySpark, or Spark SQL for data transformation and analysis. Your role will also include conducting User Acceptance Testing (UAT) to ensure data accuracy and overall system functionality. Moreover, you will be developing and managing scalable data pipelines using Databricks and Azure Data Factory (ADF) while working with Azure cloud services and being familiar with Azure data engineering components. 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 Job Description: As a Graph Database Developer, your primary role will involve designing, developing, and maintaining graph database schemas using Neo4j. You will be responsible for optimizing Neo4j queries for performance and efficiency. Additionally, you will utilize Python, PySpark, or Spark SQL for data transformation and analysis. Your role will also include conducting User Acceptance Testing (UAT) to ensure data accuracy and overall system functionality. Moreover, you will be developing and managing scalable data pipelines using Databricks and Azure Data Factory (ADF) while working with Azure cloud services and being familiar with Azure data engineering components. 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