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Java ARC -1402

• How many years of professional experience do you have?✱

  • Less than 4 years
  • 4 to 6 years
  • 6+ years
• Do you have hands-on experience with Java multithreading and concurrent programming?✱

  • No experience
  • Some experience
  • Strong experience / Expert level
• Do you have hands-on experience applying data structures effectively to design, build, or optimize large-scale or big data processing systems? Please select all areas and technologies where you have practical experience.✱

  • Trees (e.g., B-Trees, Trie, Merkle Trees for indexing, storage, or search optimization), Graphs, Queues (e.g., Task scheduling, message processing)
  • Hashing (e.g., Consistent Hashing for distributed data placement, Hash Maps for caching large datasets)
  • Partitioning and Sharding Strategies (e.g., handling data distribution and scaling in Hadoop, Spark, NoSQL systems)
  • Hadoop / HDFS (e.g., large file storage, MapReduce processing)
  • Kafka / Flink (e.g., distributed messaging, real-time data processing)
  • NoSQL Databases (e.g., Cassandra for wide-column storage, MongoDB for document storage)
  • Columnar Storage (e.g., Apache Parquet, Arrow, ClickHouse for analytical query optimization)
  • Distributed Query Engines (e.g., Hive, Spark SQL, Impala for big data querying and processing)
• Do you have experience designing or working with distributed systems (e.g., SOA, Microservices, Kubernetes, Cloud environments)?✱

  • No experience
  • Some exposure
  • Strong experience / Have worked on multiple distributed systems
• Have you worked with messaging or event streaming systems in production environments? Please select all technologies and patterns you've had hands-on experience with:✱

  • Java Message Service (JMS)
  • Apache Kafka
  • Apache ActiveMQ
  • RabbitMQ
  • Other (please specify: _____________)
• How familiar are you with how databases work internally (e.g., indexing mechanisms, query execution, transaction management, storage engines)?✱

  • Basic SQL usage only
  • Familiar with some internal concepts
  • Deep understanding and hands-on experience with database internals
• Have you worked in companies that develop or specialize in database, analytics, or business intelligence products (e.g., SAP, Oracle, Databricks, Qlik, Tableau, etc.)?✱

  • No
  • Yes – Some exposure
  • Yes – Extensive experience in such companies or related roles
• Have you worked on any of the following AI or LLM-related areas?✱

  • No experience
  • Pattern Recognition or Anomaly Detection Systems
  • Retrieval-Augmented Generation (RAG) and LLM Application Frameworks (e.g., LangChain, LlamaIndex)
  • Vector Database Integration (e.g., FAISS, Pinecone, Milvus)
  • Building, Fine-tuning, or Prompt Engineering for Large Language Models (LLMs)
• Have you worked on building rich, dynamic user interfaces using modern front-end technologies? (Can select multiple options)✱

  • No experience with frontend frameworks
  • React.js
  • Angular
  • Vue.js
  • Next.js / Nuxt.js (Server-Side Rendering frameworks)
  • jQuery / Vanilla JavaScript
  • Other (please specify: _____________)
• If you have contributed to UI development, what type of applications have you worked on?✱

  • No experience
  • Web-based applications (browser-based frontends)
  • Desktop applications (using Electron, Tauri, or similar frameworks)
  • Mobile applications (using React Native, Flutter, Swift/Kotlin, etc.)

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