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Company DescriptionDatadives India specializes in building reliable and efficient data systems with a focus on cloud technology, automation, and engineering. Leveraging advanced AI and data engineering, the company transforms unstructured data into actionable insights. Known for innovation and creativity, Datadives ensures data systems are robust and insightful. Based in India, Datadives is where data comes alive and tells impactful stories.Remote |Learning-Focused InternshipWho is this for?This internship is strictly for fresh graduates or final-year engineering students (3rd or 4th year) who are passionate about data engineering and want real-world exposure before entering the industry.If you’re looking to learn by building, understand how production data systems work, and strengthen your fundamentals under guidance this is for you.About the InternshipThis is a learning-oriented, unpaid internship designed for students who want:- Hands-on experience with real projects - Exposure to industry-grade tools and workflows - Strong foundations in data engineering & cloudWe believe early-career learning and mentorship are more valuable than short-term compensation. This internship focuses on skills, confidence, and long-term career growth.What You Will Learn & Work On- Basics of data pipelines (ingestion, transformation, loading) - Python for data processing - Introductory SQL and data modeling - Working with cloud data services (AWS – exposure level) - Understanding how real data engineering teams work - Reading and working with existing production code - Debugging, monitoring, and documentation practicesWho Can Apply- Students currently in 3rd year or final year of Engineering - Fresh graduates with no full-time industry experience - Curious, self-motivated learners - Willing to invest time in learning and building - Comfortable with basic Python / SQLWhat You Will Get- Real project experience (not dummy tasks) - 1-on-1 mentorship and guidance - Internship completion certificate - Strong foundation for data engineer roles - Potential consideration for future paid opportunities (based on performance)Duration- 3–4 months - Flexible hours (student-friendly)