Gaming Analytics

As a full-stack web engineer joining our growing engineering team in Chennai, you will have the opportunity to work on a cutting-edge cross-domain analytical platform built on React, Node, and Graph DB with Machine Learning in Python. This role offers a competitive salary between 18L and 30L INR per year, based on your talent and potential. Our engineering team is deeply ambitious and dedicated to leveraging technology to create user-friendly solutions that address common business challenges. We prioritize end-user needs and customer satisfaction, with a solid foundation built from the ground up and a growing base of satisfied customers. In this role, you can expect a dynamic mix of new development projects and complex real-world challenges stemming from our rapidly expanding customer deployments. We take pride in our code quality and involve the entire team in product and design cycles, providing you with a deep understanding of our projects and their purpose. As part of our team, you will focus on full-stack feature development using JavaScript, React, Node, and Neo4j. Your responsibilities will include developing user interface components and APIs, ensuring their robustness and ease of maintenance. Collaboration with other team members across different infrastructure layers is essential, emphasizing the importance of collaborative problem-solving, sophisticated design, and high-quality products. To excel in this role, you should have a solid understanding of design patterns and principles, with experience in micro-front end and microservices patterns being a significant advantage. Effective communication skills, both technical and interpersonal, are crucial, as well as a quick ability to learn new technologies and frameworks. You should possess a minimum of 6-8 years of development experience in React, NodeJS engineering, and be proficient in creating extensible visualizations using charting libraries. Experience with REST, GraphQL API development, and integration, as well as working with NOSQL databases, particularly Graph databases, is highly desirable. If you are ready to contribute to our AI-driven analytics platform and thrive in a fast-paced, agile environment focused on results, we encourage you to send your resume to careers@gaminganalytics.ai. Join us in coding, growing, and making a difference!,