Software Engineer- DSA

As a Data Engineer, your role involves designing and implementing highly performant algorithms to process, transform, and analyze large volumes of data. You are expected to apply advanced DSA concepts such as Trees, Graphs, Tries, Heaps, and Hashing for data indexing, filtering, and routing. Additionally, you will be responsible for developing and optimizing data pipelines, stream processors, or caching systems. Architecting scalable systems for data ingestion, storage, and retrieval, both structured and unstructured, is also a key part of your role. Collaboration with cross-functional teams to integrate and deploy performant services is essential. You will need to perform profiling, tuning, and memory optimization to ensure low-latency operations. Writing clean, modular, and testable code and participating in code reviews are also part of your responsibilities. Key Responsibilities: - Design and implement highly performant algorithms for data processing - Apply advanced DSA concepts like Trees, Graphs, Tries, Heaps, and Hashing - Develop and optimize data pipelines, stream processors, or caching systems - Architect scalable systems for data ingestion, storage, and retrieval - Collaborate with cross-functional teams for service integration and deployment - Perform profiling, tuning, and memory optimization - Write clean, modular, testable code and participate in code reviews Qualifications Required: - Strong command over Core DSA concepts: Binary Search, Heaps, Graphs, Tries, Trees (AVL, B-Trees, Segment Trees) - Hands-on experience with algorithms for sorting, searching, indexing, and caching large datasets - 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 Please note that the job description did not include any additional details about the company.,