Data Engineer Intern

Build the data foundation behind modern AI. Every AI application, every dashboard, every decision is only as good as the data behind it. You'll build the pipes nobody sees — and everything depends on. AI applications, analytics, automation, and business decisions all depend on reliable data. This internship introduces emerging technologists to how data is collected, transformed, validated, stored, and prepared for applications, analytics, and AI. You'll trace a broken number back through three transformation steps to find where the data went wrong — and fix it so it never happens again. That's the craft. What you'll work on PythonSQLETL / ELTData ingestionREST APIsData transformationData qualityRelational databasesCloud storageData lakesLakehouse architecturesSparkDatabricksWorkflow orchestrationAnalytics pipelines **Preferred background** Engineering (BE/BTech/BEng), Computer Science, Computer Applications (BCA/MCA), Information Technology, Data Science, Statistics, Mathematics, Economics / Econometrics, Finance This internship is intended for candidates from technical, engineering, computing, or quantitative disciplines. **What we look for** * —Basic Python and/or SQL * —Analytical thinking and comfort working with data * —Attention to detail and interest in databases and cloud technologies * —Willingness to investigate why data doesn't behave as expected **What you'll gain** * —Practical data-engineering, Python, and SQL experience * —Data pipeline and cloud platform exposure * —Certification support for eligible participants * —Project experience letter on successful completion * —Potential professional reference based on performance To learn more about **4D Cloud Labs Inc**, visit **www.4dcloudlabs.com**. To apply, send your CV/resume to **careers@4dcloudlabs.com** with the subject line **“Data Engineer Intern – Chennai TN/Vijayawada AP.”** Pay: ₹4,000\.00 - ₹6,000\.00 per month Benefits: * Commuter assistance * Flexible schedule * Internet reimbursement Education: * Bachelor's (Required) Work Location: In person