NEO4J

Key Responsibilities Graph Database Development: Design, develop, and maintain graph database schemas using Neo4j. Query Optimization: Optimize Neo4j queries for performance and efficiency. Data Processing & Analysis: Utilize Python, PySpark, or Spark SQL for data transformation and analysis. User Acceptance Testing (UAT): Conduct UAT to ensure data accuracy and overall system functionality. Data Pipeline Management: Develop and manage scalable data pipelines using Databricks and Azure Data Factory (ADF). Cloud Integration: 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 Skills: azure,data engineering tools,neo4j,pyspark,azure data factory,spark sql,databricks,cloud,database performance tuning,cypher query language,python Show more Show less