Amazon has announced an opportunity for students to join as Data Engineer Interns for 2027. This internship is suitable for candidates interested in data engineering, SQL, Python, big data technologies, cloud computing, and building large-scale data pipelines.
Selected candidates will get an opportunity to work with experienced engineers, business analysts, and managers while contributing to data platforms and analytics solutions.
Applications are open through Amazon’s official careers portal. Interested candidates should review the eligibility criteria and submit their applications online.
Amazon Recruitment 2027 – Overview
| Details | Information |
|---|---|
| Company | Amazon |
| Job Role | Data Engineer Intern |
| Job ID | 10496769 |
| Eligible Batch | 2027 Graduates |
| Job Type | Internship |
| Location | Bengaluru, Chennai, Hyderabad, Noida and other hiring locations in India |
| Qualification | Bachelor’s or Master’s degree in Computer Science, Engineering or a related field |
| Required Skills | SQL, Python, DBMS, Big Data, ETL |
| Experience | Students / Interns |
| Salary / Stipend | Not specified in the provided job description |
| Application Mode | Online |
| Official Website | Amazon Careers |
About the Opportunity
As a Data Engineer Intern at Amazon, candidates will work on building and maintaining complex data pipelines and assembling large datasets to generate business insights.
Interns will collaborate with business analysts, managers, software development engineers, and data engineers to design, implement, and support data engineering solutions.
This role offers exposure to data platforms, cloud technologies, data warehouses, and large-scale data processing systems in a fast-paced environment.
Job Responsibilities
Selected candidates may work on the following responsibilities:
- Design, implement, and support analytical data platform solutions.
- Design data schemas and work with internal data warehouses.
- Work with SQL and NoSQL database systems.
- Develop and optimize different data models and architectures.
- Extract, transform, and load data from multiple sources.
- Work with AWS technologies such as Amazon S3, Redshift, Lambda, Glue, and EMR.
- Work with data lake platforms and technologies such as Hadoop and Amazon S3.
- Use big data technologies such as Spark, Hive, and Impala.
- Improve ongoing data analysis and reporting processes.
- Maintain reports, dashboards, metrics, and analytical solutions.
- Follow best practices for data integrity, testing, validation, and documentation.
Eligibility Criteria
Candidates interested in applying should review the following requirements:
- Candidates should be in the final year of a Bachelor’s or Master’s course in Computer Science, Engineering, or a related field.
- The opportunity is intended for the 2027 graduating batch.
- Candidates should have hands-on experience with SQL.
- Knowledge of programming languages such as Python is required.
- Understanding of RDBMS, NoSQL, Big Data, ETL, and Data Warehousing concepts is expected.
- Good written and verbal communication skills are required.
- Candidates should be willing to learn and adapt to a fast-paced working environment.
Important: The detailed job description specifies final-year Bachelor’s or Master’s students in Computer Science, Engineering, or a related field. Check the official application form for the exact eligibility requirements before applying.
Required Technical Skills
Candidates should have knowledge of the following technologies:
Programming and Database Skills
- SQL
- Python
- RDBMS
- NoSQL databases
- Database concepts
Data Engineering Skills
- ETL processes
- Data Warehousing
- Big Data technologies
- Data Lakes
- Data modelling
Big Data Technologies
- Apache Spark
- Hadoop
- Hive
- Impala
Preferred Qualifications
The following skills and knowledge can be an advantage:
- Hands-on experience with AWS services such as Amazon S3, EMR, RDS, and Redshift.
- Knowledge of cloud platforms such as AWS or equivalent.
- Understanding of software engineering best practices.
- Familiarity with Agile methodologies, coding standards, code reviews, testing, and source management.
- Knowledge of reporting and data visualization tools.
- Strong problem-solving and analytical skills.
- Understanding of computer science fundamentals, including object-oriented design, operating systems, algorithms, data structures, and complexity analysis.
Internship Location
Amazon states that applications may be considered for hiring locations across India, including:
- Bengaluru
- Chennai
- Hyderabad
- Noida
The final location will depend on the hiring team’s requirements and available opportunities.
Important Internship Requirements
Amazon internships require a full-time commitment throughout the internship period.
Candidates should ensure that they do not have conflicting academic projects, classes, other internships, or employment commitments during the internship.
Candidates who receive an internship offer must submit a declaration confirming their availability for the entire internship duration. The declaration must be signed by an authorized representative of their university.
Any examination-related absence should be communicated to the hiring manager in advance.
How to Apply for Amazon Data Engineer Intern Recruitment 2027?
Interested and eligible candidates can follow these steps:
- Visit the official Amazon Careers application page.
- Review the Data Engineer Intern job description.
- Check the eligibility criteria carefully.
- Sign in to your Amazon Jobs account or create a new account.
- Complete the application form with accurate details.
- Upload your updated resume and provide the required information.
- Review your application and submit it.
Direct Application Link: Click here
Frequently Asked Questions (FAQs)
1. What is the role offered by Amazon?
Amazon is hiring candidates for the Data Engineer Intern position.
2. Which batch is eligible for this internship?
The opportunity is intended for 2027 graduates.
3. What is the required qualification?
The detailed job description specifies final-year Bachelor’s or Master’s students in Computer Science, Engineering, or a related field.
4. What technical skills are required?
Candidates should have hands-on SQL and Python knowledge, along with an understanding of DBMS, Big Data, ETL, and Data Warehousing concepts.
5. Is AWS knowledge mandatory?
AWS knowledge is listed as a preferred qualification. Familiarity with services such as S3, EMR, RDS, and Redshift can be beneficial.
6. Where are the job locations?
Potential hiring locations include Bengaluru, Chennai, Hyderabad, and Noida, among other locations in India.
7. Is this a full-time internship?
Yes. Amazon requires full-time availability for the entire internship duration.
8. What is the salary or stipend?
The stipend is not specified in the job description provided.
