Computer Science Fundamentals: Must demonstrate a deep understanding of Data Structures and Algorithms (e.g., time complexity, space complexity, and efficient data traversal).
System Design & SOLID Principles: Ability to apply architectural patterns (like Open/Closed principle) to ensure that the configurations created on our platform are extensible and maintainable.
Database Mastery: Proficiency in both Relational (SQL) and NoSQL (MongoDB) databases. Understand how to optimize queries for scale, manage primary/secondary keys, and implement indexing.
API Ecosystems: Strong experience with RESTful APIs, WebSockets, and OAuth. Comfortable debugging integration issues between disparate enterprise systems.
Programming Languages & Design: Python (highly emphasized for AI/ML and data pipeline workflows), Java (core backend for many enterprise connectors), JavaScript/TypeS...
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