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
Internship Benefits Hands-on experience on Databricks Spark platform One-on-one mentorship from experienced professionals Internship completion certificate from Web Neural Infotech Paid internship / stipend based on performance Skills Databricks, Spark, DeltaLake, SQL, Python, Notebooks, ETL, BigData, 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
