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
Internship Benefits
Hands-on experience on live Big Data projects
One-on-one mentorship from experienced professionals
Internship completion certificate from Web Neural Infotech
Paid internship / stipend (performance-based)
Strong foundation for careers in Data Engineering and Big Data
Skills
Spark,Parquet,Delta,Python,SQL,ETL,BigData,DataPipelines,Analytics
Web Neural Infotech is a leading AI and Data Science company driving innovation through cutting-edge research and real-world applications. We specialize in Big Data Analytics, Machine Learning, Cloud Computing, and Software Development, delivering in... Read More
