This is a learning-focused internship opportunity at Web Neural Infotech for students and freshers who want to build a strong foundation in distributed data processing. As a Scala Developer Intern (Spark), you will gain hands-on exposure to designing, developing, and optimizing distributed applications using Apache Spark and Scala. The internship is structured to help interns understand real-world big data workflows, scalable system design, and performance-oriented development while working alongside experienced mentors in an industry-driven environment. Internship Responsibilities Assist in developing distributed data processing applications using Scala and Apache Spark Work on data transformation, batch processing, and basic stream processing tasks Support in writing clean, efficient, and scalable Spark jobs Participate in debugging, performance tuning, and optimization of distributed workloads Collaborate with senior developers to understand data pipelines and system architecture Document learnings, code logic, and implementation approaches Basic Internship Requirements Basic understanding of programming concepts and data structures Familiarity with Scala or willingness to learn Scala quickly Introductory knowledge of distributed systems or big data concepts Understanding of databases and data formats such as CSV or JSON Strong learning mindset and ability to work in a team environment
Internship Benefits Hands-on experience with distributed processing and real-world Spark projects Guidance and mentorship from experienced industry professionals Internship completion certificate from Web Neural Infotech Paid internship with performance-based stipend Exposure to industry-standard tools, practices, and workflows Skills Scala, Spark, DistributedComputing, BigData, DataProcessing, SQL, Linux, Git