Part Analytics

This software development role includes: • Ideation, prototyping, design, and implementation of web applications. • Maintaining quality and ensure responsiveness of web applications. • Maintain code integrity and organization. • Should be a proponent for clean design, maintainability, and reusability, and a follower of TDD. • Collaborate with the rest of the engineering team to design and launch new features. Requirements: • 5+ years of experience (real world, not academic). • Experience working with graphic designers and converting designs to visual elements. • Highly experienced with back-end programming languages (Ex: Python, Java, JavaScript, NodeJS) • Understanding and implementation of security and data protection. • Proficient experience using advanced JavaScript libraries and frameworks such as AngularJS • Strong foundation of relational (Ex: PostgreSQL) or NoSQL (Ex: MongoDB) database systems with complex SQL queries. • Working knowledge on Angular 2+ • Experience using Source Control such as CVS, Git or SubVersion. • Good understanding of algorithms, data structures, performance optimization techniques and object oriented programming. • Great design and problem solving skills, with a strong bias for quality and engineering excellence at scale. • Good at Linux shell scripting/python scripting. Should be having working experience on these. • Drive to investigate new technologies and technical hurdles independently, and be able to clearly communicate your recommendations and solutions and flexible to switch technologies. • Strong written and verbal communication skills. • Possess deep expertise in architectural design methodologies. • Bachelor’s degree in computer science, engineering or equivalent from good reputed university. Nice to Have: • Experience in distributed systems and big data technologies. • Experience with mathematical and statistical model generation using tools such as R, SAS, SPSS etc. • Machine learning algorithms. • Knowledge on any web server/app server configuration and deployment on different platforms (AWS, Azure etc.).