GraphDB Engineer

This is a permanent work from home position from anywhere in India

Notice period - less than 30 Days (Immediate joiners preferred)

Job Description:

We are seeking a highly skilled Graph DB Engineer with proficiency in Amazon Neptune and a deep understanding of graph databases to design, implement, and maintain graph data solutions. The successful candidate will have strong experience with data modeling, query optimization, and performance tuning in graph databases, particularly in Amazon Neptune, along with expertise in AWS services and DevOps tools.


Key Responsibilities:

Amazon Neptune Expertise: Develop, administer, and maintain graph databases using Amazon Neptune, including data modeling, query optimization, performance tuning, and backup/recovery.
Graph Data Concepts: Utilize frameworks such as RDF, SPARQL, Gremlin, and GraphML to develop and optimize graph database queries and workflows.
AWS Services: Leverage AWS services, including S3, Lambda, Glue, OpenSearch, Notebook, API Gateway, CloudFormation, CloudWatch, and IAM, to design and maintain scalable and secure graph data solutions.
Performance Tuning: Continuously monitor, tune, and troubleshoot Amazon Neptune to ensure optimal performance for various business use cases.
ETL Processes: Design and implement efficient ETL (Extract, Transform, Load) processes, integrating graph data sources with target systems.
DevOps Tools: Use DevOps tools like Git, Jenkins, and CI/CD pipelines for continuous integration, deployment, and version control.
Application Development: Develop APIs and applications for graph data management using Python, Java, or similar programming languages.
Security: Ensure security best practices are followed for data access and storage using IAM and other security tools.

Required Skills and Experience:

Amazon Neptune: Proven experience in Amazon Neptune graph database development and administration.
Graph Data Expertise: Strong familiarity with graph data concepts such as RDF, SPARQL, Gremlin, GraphML.
AWS Services: Proficiency in AWS tools such as S3, Lambda, Glue, API Gateway, CloudFormation, CloudWatch, and IAM.
Performance Optimization: Expertise in query optimization, performance tuning, and troubleshooting Amazon Neptune databases.
ETL & Data Integration: Solid understanding of ETL processes and data integration involving graph databases.
DevOps Skills: Experience with Git, Jenkins, CI/CD pipelines, and other DevOps tools for automation.
Programming: Proficient in Python, Java, or other programming languages for developin