Kickstart your tech career with a Data Engineer Internship at Amazon! This 2025 Data Engineer internship offers final-year Bachelor’s/Master’s students in Computer Science or related Engineering fields a chance to design data pipelines, work with AWS technologies, and drive data-driven decisions across Indian hubs like Bengaluru, Hyderabad, Chennai, Delhi, and Pune.

Amazon Recruitment 2025 Overview
| Company: Amazon | |
| Role: Data Engineer Intern | Experience Level: Freshers |
| Location: Bengaluru, Chennai, Hyderabad, Delhi, Pune | Eligible Batch: 2025 & 2026 |
| Job Type: Internship | Salary/Stipend: ₹3 – ₹6 LPA (Expected) |
Data Engineer Job Description
As a Data Engineer Intern at Amazon, you’ll build complex data pipelines, optimize analytical platforms, and support fast-paced business decisions using AWS technologies. You’ll collaborate with Business Analysts, Software Engineers, and Data teams to solve real-world challenges in a customer-facing agile environment.
Key Responsibilities in Internship for Engineering Students:
- Design and maintain data pipelines for business insights using AWS tools (EMR, RedShift, S3).
- Develop data warehouses, SQL/NoSQL databases, and optimize data models.
- Extract and transform data from diverse sources using AWS big data technologies.
- Implement data lake components like Hadoop, Spark, Hive, or Impala.
- Create metrics, dashboards, and reports to drive key business decisions.
- Adopt engineering best practices for data integrity, testing, and documentation.
Required Skills & Qualifications
Data Engineer Skills Required for Amazon Vacancy:
- Proficiency in SQL and Python programming.
- Knowledge of RDBMS, Big Data, NoSQL, ETL, and Data Warehousing concepts.
- Familiarity with AWS technologies (S3, RedShift, EMR).
- Strong problem-solving skills and adaptability in fast-paced environments.
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Eligibility Criteria for Data Engineering Internship:
Education: Final-year students pursuing B.Tech/B.E./M.Tech in Computer Science, IT, Engineering, or related fields.
Excellent written and verbal communication skills.
Fresher graduates from the 2025 and 2026 batches are eligible to apply.
Internship Location: Bengaluru, Chennai, Hyderabad, Delhi, Pune, India
Perks and Benefits of Amazon Internship
- Hands-on experience with cutting-edge AWS technologies (Lambda, Glue, RedShift).
- Collaborative work environment with industry experts.
- Exposure to Amazon’s business domains and data engineering best practices.
- Fast-paced, agile learning culture.
Career Growth Opportunities
- Potential for advancement to roles like Data Engineer or Software Development Engineer based on performance and requirements.
- Specialization in AWS Cloud Technologies, Big Data Analytics, or Data Warehousing.
Salary / Stipend in Data Engineer Internship at Amazon India
It’s a paid internship with an estimated Data Engineer Intern Salary/Stipend at Amazon is around INR 3 to 6 Lakhs Per Annum (LPA).
How to Apply for the Amazon Internship in Multiple Locations
To apply or for more information regarding AWS internship for data engineer students, visit the Amazon career page using the following link.
Application Deadline: Rolling basis (apply early).
Explore Similar Opportunities:
| Company: Amazon | Job Type: Internship |
| Location: Bangalore | Role Focus: Data Engineer |
| Chennai | Pune |
| B.Tech | M.Tech |
| CS/IT | Electronics |
Frequently Asked Questions (FAQ)
(Q1) Which graduation batches are eligible for this internship?
(A1) 2025 and 2026 pass-out students pursuing B.Tech/B.E./M.Tech in Computer Science, IT, or related Engineering fields.
(Q2) What AWS technologies will I work with during this internship?
(A2) You’ll gain hands-on experience with S3, RedShift, EMR, Lambda, and Glue.
(Q3) Are there location preferences for this internship?
(A3) Applications are open for Bengaluru, Hyderabad, Chennai, Pune, and Delhi. Amazon will assign locations.
What exactly does Amazon do?
Amazon is a global leader in e-commerce, cloud computing (AWS), and digital streaming. In India, it operates marketplaces, AWS data centers, and tech hubs driving innovation in logistics, AI, and customer-centric solutions. The company empowers employees to innovate for millions of customers worldwide while adhering to agile methodologies and inclusive work culture.



