Amazon has opened its Data Engineer Intern programme for the 2027 batch in India. The posting lists Bengaluru, Greater Noida, Hyderabad and Chennai, and says applications are considered for all locations Amazon hires in across the country. This is a full-time internship, so you will not be able to run it alongside classes.
Role Overview
Interns on this team work on the data side of Amazon's business: moving data from many sources into warehouses, shaping it, and making it usable for reports and dashboards. The posting names the Amazon job ID as 10496769.
Responsibilities
- Build and maintain data pipelines that feed analytics and reporting.
- Design data warehouse structures and work with both SQL and NoSQL stores.
- Write ETL jobs using AWS services such as EMR, Redshift, S3, Lambda and Glue.
- Use Spark and Hive on Hadoop for larger data sets.
- Create dashboards and metrics that business teams can read without help.
Requirements
- Final year of a Bachelor's or Master's course in Computer Science, Engineering or a related field.
- Hands-on SQL.
- Hands-on Python.
- Working knowledge of RDBMS, big data, NoSQL, ETL and data warehousing.
- Good written and spoken communication.
- Preferred: AWS experience (S3, EMR, RDS, Redshift), software engineering practices and problem solving.
What the role involves
Think less about building apps and more about plumbing. On a normal day you would likely be writing SQL to check data quality, scheduling or fixing a pipeline step, and answering questions from analysts who depend on your tables. Expect to learn how a large company keeps data trustworthy at scale, and to ask for help early because the tooling stack is big.
Who it suits
This fits students who enjoy databases more than front-end work and do not mind careful, detail-heavy tasks. If you have already queried a messy data set and cleaned it up, you will recognise the work. It is a weaker fit if you want to build user-facing products.
How to stand out
- Lead with one project that moves data end to end: source, transform, store, report. Even a small pipeline on free-tier AWS counts.
- Be ready to explain joins, indexing, normalisation and when you would pick NoSQL over SQL. Expect SQL and Python questions, since both are listed as hands-on requirements.
- If you have touched Redshift, Glue or Spark, put that near the top of your resume, as these appear in the posting.
- Practise explaining a past project in plain words. Communication is listed as a requirement.
Check before you apply
- The posting does not list a stipend, so do not assume a figure.
- No deadline is shown on the page, so apply early rather than waiting.
- The final-year condition is explicit. Check your graduation year matches the 2027 batch.
- The listing is a full-time commitment for the internship period, and the posting does not state the exact duration. Confirm dates before accepting anything.
- Location preference: the posting covers several cities, so see whether the application lets you choose.
