Lead - Data Structure Algorithm

Hands-on experience with algorithms for sorting, searching, indexing, and caching large dataset Strong command over Core DSA concepts: Binary Search, Heaps, Graphs, Tries, Trees (AVL, B-Trees, Segment Trees) Deep technical knowledge; hands-on in architecture design, development, deployment, and production operation; familiar with agile software development and modern development tools and frameworks; holds strong engineering principles, including automation, quality, and best practices with a high bar. Extensive experience in complete software development life cycle E2E, including production monitoring. Proficiency in one or more of the following languages: Java, Python Experience working with large datasets in real-time or batch Solid grasp of time and space complexity and performance tuning Familiarity with memory management, garbage collection, and data locality Design and implement highly performant algorithms to process, transform, and analyze large volumes of data Apply advanced DSA concepts like Trees, Graphs, Tries, Heaps, and Hashing for data indexing, filtering, and routing Develop and optimize data pipelines, stream processors, or caching systems Architect scalable systems for data ingestion, storage, and retrieval (structured/unstructured) Collaborate with cross-functional teams to integrate and deploy performant services Perform profiling, tuning, and memory optimization to ensure low-latency operations Write clean, modular, testable code and participate in code reviews