Big Data Intern (Data Pipelines & Processing)

This is a learning-focused internship at Web Neural Infotech designed for students and freshers who want to build strong foundations in Big Data engineering. As a Big Data Intern, you will work closely with experienced data engineers to understand, design, and implement modern data pipelines used in real-world analytics systems. The internship focuses on hands-on exposure to distributed data processing using Spark, optimized data storage with Parquet, and scalable data management with Delta Lake. You will gain practical experience in handling large datasets, improving data performance, and understanding end-to-end data workflows in an industry-aligned environment.

Internship Responsibilities

• Assist in building and maintaining Spark-based data pipelines

• Work with structured and semi-structured data using Parquet formats

• Support implementation and optimization of Delta Lake tables

• Perform basic data transformations, validations, and performance checks

• Collaborate with mentors to understand real-world Big Data use cases

• Document learnings, pipeline logic, and best practices

Basic Internship Requirements

• Basic understanding of databases, data concepts, and ETL fundamentals

• Familiarity with Python or SQL is preferred

• Interest in Big Data technologies and data engineering

• Willingness to learn Spark, Parquet, and Delta Lake concepts

• Ability to follow guidance and work in a collaborative team environment