This is a learning-focused internship opportunity at Web Neural Infotech for students and freshers who are eager to build a strong foundation in Microsoft Azure Analytics Services. The internship is designed to provide practical exposure to real-world data engineering and analytics workflows using Azure technologies. Interns will work under the guidance of experienced mentors and gain hands-on experience with cloud-based data integration, storage, and analytics solutions, making it an ideal starting point for a career in cloud and data engineering.
Internship Responsibilities
Assist in building and managing data pipelines using Azure Data Factory (ADF)
Work with Azure Data Lake Storage (ADLS) for data ingestion and storage
Support analytics and data processing tasks using Azure Synapse Analytics
Collaborate on data transformation and processing using Azure Databricks
Participate in understanding business requirements and translating them into analytics solutions
Learn and follow best practices for cloud data security, performance, and optimization
Document learnings, workflows, and project outcomes
Basic Internship Requirements
Basic understanding of databases, SQL, and data concepts
Familiarity with cloud computing fundamentals (Azure preferred)
Willingness to learn Azure Analytics Services and related tools
Basic knowledge of Python or similar programming language is a plus
Good communication skills and a learning-oriented mindset
Suitable for students, freshers, and recent graduates
Internship Benefits
Hands-on experience with Microsoft Azure Analytics Services
One-on-one mentorship from industry professionals
Internship completion certificate from Web Neural Infotech
Paid internship with performance-based stipend
Exposure to real-time projects and industry-relevant tools
Strong foundation for a career in cloud analytics and data engineering
Skills
Azure,ADF,ADLS,Synapse,Databricks,SQL,Python,Analytics,ETL,Cloud
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
