Databricks Intern (Spark Platform)

Web Neural Infotech is offering a learning-focused internship opportunity for students and freshers interested in big data engineering and modern data platforms. This internship at Web Neural Infotech is designed to provide practical exposure to the Databricks Spark platform, with a strong focus on Delta Lake architecture and collaborative notebooks. Interns will gain hands-on experience working with real-world datasets, understanding scalable data pipelines, and applying industry-standard data engineering practices in a guided environment. Internship Responsibilities Work on Databricks notebooks to perform data ingestion, transformation, and analysis Assist in building and optimizing Spark-based data pipelines Learn and apply Delta Lake concepts such as ACID transactions and versioning Support data validation, performance tuning, and documentation tasks Collaborate with mentors and team members on assigned internship projects Basic Internship Requirements Basic understanding of databases, data processing, or big data concepts Familiarity with SQL or Python is preferred Interest in Spark, Databricks, and data engineering tools Willingness to learn and adapt in a professional internship environment Suitable for students and freshers pursuing computer science, IT, or related fields