Amazon is one of the world’s most customer‑obsessed companies, operating at a massive scale across e‑commerce, cloud computing, digital streaming, and AI‑driven services. In India, Amazon has built a robust ecosystem of fulfillment centers, data centers, and technology hubs in cities like Bengaluru, Hyderabad, Chennai, and Noida, offering fresh talent the chance to work on products that impact millions of users daily. The company’s culture emphasizes ownership, bias for action, and continuous learning, making it an ideal launchpad for engineering graduates who want to grow fast in a high‑velocity environment. The Data Engineer Intern role for 2027 is designed to give aspiring data professionals hands‑on experience building and maintaining large‑scale data pipelines that power business insights across Amazon’s diverse domains. Interns will collaborate with business analysts, software engineers, and senior data engineers to design, implement, and support analytical data platforms. The internship is full‑time and requires a commitment for the entire duration, with no academic or other work conflicts. Key responsibilities include: 1. Design, develop, and support analytical data platform solutions for data‑driven decision making. 2. Create and maintain data schemas, and manage internal data warehouses using SQL and NoSQL databases. 3. Build and optimise ETL pipelines that ingest data from varied sources using AWS services such as EMR, Redshift, and Elasticsearch. 4. Work with AWS technologies like S3, Lambda, Glue, and explore emerging services to improve efficiency. 5. Implement data‑lake components on Hadoop and Amazon S3, and run SQL‑on‑Hadoop workloads using Spark, Hive, and Impala. 6. Continuously improve analysis processes, simplifying self‑service data access for internal customers. 7. Produce and maintain metrics, dashboards, and reports that influence key business decisions. 8. Communicate findings and technical designs clearly to cross‑functional teams. 9. Follow best practices for data integrity, testing, documentation, and version control. 10. Participate in code reviews and agile ceremonies to deliver high‑quality solutions. Tech stack: Python, SQL, AWS (S3, Redshift, EMR, Lambda, Glue), Hadoop ecosystem (Spark, Hive, Impala), NoSQL databases, data‑lake architecture, ETL tools, and visualization platforms. Growth path: Successful interns often receive full‑time offers, progressing to Data Engineer, Data Platform Engineer, or Solutions Architect roles. Amazon’s internal mobility program allows movement across business units, enabling exposure to cutting‑edge technologies and leadership opportunities. Why join Amazon? The internship provides exposure to real‑world, petabyte‑scale data problems, mentorship from senior engineers, and a culture that rewards innovation. Interns gain a strong foundation in cloud‑native data engineering, positioning them for high‑impact careers in any data‑driven organization.