Senior Graph Data Solutions Engineer

5 days ago

mumbai, India beBeeGraph Full time

Senior Graph Data Solutions EngineerWe are seeking a highly motivated and experienced Senior Data Solutions Engineer with a strong focus on Graph Databases to lead the design, development, and maintenance of robust and scalable graph-based data solutions.This role involves collaborating closely with data scientists, analysts, and application developers to identify business requirements and translate them into effective graph schemas and data structures. You will be responsible for developing and maintaining graph database instances, including installation, configuration, and performance tuning. Additionally, you will implement data ingestion and transformation pipelines to populate graph databases from various data sources using tools like Apache Kafka, Apache Airflow, or similar technologies.Design and Implement Efficient Graph Data Models: Design and implement efficient and scalable graph data models using appropriate graph database technologies (e.g., Neo4j, Amazon Neptune, TigerGraph, etc.). Translate business requirements into effective graph schemas and data structures.Optimize Graph Models for Performance and Query Efficiency: Optimize graph models for optimal performance and query efficiency to ensure seamless data retrieval and analysis.Develop and Maintain Graph Database Instances: Develop and maintain graph database instances, including installation, configuration, and performance tuning. Implement data ingestion and transformation pipelines to populate graph databases from various data sources.Develop and Optimize Graph Query Languages: Develop and optimize Cypher, Gremlin, or other graph query languages for complex data retrieval and analysis.Implement Data Security and Access Control Mechanisms: Implement data security and access control mechanisms for graph databases to ensure secure data storage and management.Data Integration and ETL/ELT Processes: Design and implement ETL/ELT processes to integrate data from diverse sources into graph databases. Ensure data quality and consistency throughout the data integration process.

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