Amazon is hiring candidates for the Data Engineer Intern – 2027 role in India. Candidates who are currently in the final year of a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field can apply for this internship opportunity.
The role involves building and maintaining complex data pipelines, working with large datasets, developing data platforms, and supporting data-driven business decisions. Interns will collaborate with Business Analysts, Managers, Software Development Engineers, and Data Engineers in a fast-paced and agile environment.
Amazon Hiring 2027
| DetailsInformation | Information |
|---|---|
| Company | Amazon |
| Job Role | Data Engineer Intern |
| Qualification | Final Year Bachelor’s or Master’s in Computer Science, Engineering or Related Field |
| Experience | Freshers / Students |
| Freshers Eligible | Yes |
| Salary | ₹40,000 – ₹1,00,000 Per Month (Expected) |
| Job Type | Internship |
| Work Mode | As per Amazon team requirements |
| Location | India – Bengaluru, Chennai, Hyderabad, Noida and other locations |
| Job ID | 10496769 |
| Batch | 2027 |
| Internship Commitment | Full-Time |
Amazon Data Engineer Intern Job Description
As a Data Engineer Intern, candidates will work on building and maintaining complex data pipelines and assembling large datasets to generate business insights. The role supports data-driven decision-making and the rapidly growing demand for data across Amazon’s business teams.
Interns will have the opportunity to collaborate with Business Analysts, Managers, Software Development Engineers, and Data Engineers to determine how data solutions should be designed, implemented, and supported.
The internship provides exposure to a fast-paced, customer-facing, and agile environment where candidates can develop their technical skills and build knowledge of Amazon’s business domains and data engineering technologies.
Roles and Responsibilities
- Design, implement, and support analytical data platform solutions for data-driven decisions and insights.
- Design data schemas and work with internal data warehouses and SQL/NoSQL database systems.
- Work on different data models, architectures, implementations, and optimization approaches.
- Extract, transform, and load data from a wide variety of data sources.
- Work with AWS big data technologies such as Amazon EMR, Amazon Redshift, and Elasticsearch.
- Work with AWS technologies including Amazon S3, Redshift, Lambda, and Glue.
- Explore and learn new AWS technologies to improve capabilities and efficiency.
- Work on data lake platforms and components such as Hadoop and Amazon S3.
- Work with SQL technologies on Hadoop, including Spark, Hive, and Impala.
- Improve ongoing data analysis processes and simplify self-service support.
- Maintain data integrity through testing, analysis, validation, and documentation.
- Work closely with experienced engineers and team members.
- Develop deep domain knowledge across various Amazon business areas.
- Maintain ongoing metrics, reports, analyses, and dashboards to support business decisions.
- Communicate effectively with team members and deliver high-quality results in a fast-paced environment.
Qualifications & Skills
- Candidates must be in the final year of a Bachelor’s or Master’s course in Computer Science, Engineering, or a related field.
- Hands-on experience with SQL.
- Hands-on experience with programming languages such as Python.
- Knowledge of RDBMS, Big Data, NoSQL, ETL, and data warehousing concepts.
- Strong written and verbal communication skills.
- Good problem-solving and analytical abilities.
- Ability to learn quickly and adapt to a fast-paced development environment.
Preferred Qualifications
- Hands-on experience with AWS technologies such as Amazon S3, EMR, Amazon RDS, and Amazon Redshift.
- Understanding of software engineering best practices across the development lifecycle.
- Knowledge of Agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
- Knowledge of cloud services such as AWS or equivalent platforms.
- Familiarity with reporting and data visualization tools.
- Strong problem-solving skills.
- Ability to work with ambiguous requirements and develop practical solutions.
Work Environment
Amazon will consider applications for internship locations across India, including Bengaluru, Chennai, Hyderabad, and Noida, among other locations where Amazon hires for this position.
This internship requires a full-time commitment for the entire duration of the internship. Interns should not have conflicts such as academic projects, classes, other internships, or employment during the internship period.
Specific working hours and team norms will be communicated by the hiring or reporting manager when the internship begins.
Candidates receiving an internship offer may be required to submit a signed declaration confirming their availability to complete the entire internship duration. The internship offer will be subject to successful submission of this declaration.
Salary Details
The expected stipend for the Amazon Data Engineer Intern – 2027 role is approximately ₹40,000 to ₹1,00,000 per month.
This is an expected stipend range based on commonly reported Amazon data engineering internship compensation in India and is not an officially disclosed stipend for Job ID 10496769. The actual stipend may vary depending on location, team, internship duration, and applicable Amazon policies.
How To Apply For Amazon Data Engineer Intern
- Click on the Apply Here button provided below.
- Visit the official Amazon Jobs career portal.
- Search for Data Engineer Intern – 2027 or use Job ID 10496769.
- Review the eligibility criteria and internship requirements.
- Create an Amazon Jobs account or log in if required.
- Complete the application form with accurate information.
- Upload your updated resume and other required documents.
- Review all the information entered in the application.
- Submit your application through the official Amazon Jobs portal.
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Important Note While Applying
Candidates should carefully review the internship requirements before applying. Since this is a full-time internship, candidates must ensure they are available for the complete internship duration and do not have conflicting academic, employment, or internship commitments.
Candidates should also keep their registered email address active and regularly check their inbox for communication regarding the recruitment process.
Selection and Interview Process at Amazon
The Amazon internship selection process may vary depending on the team and hiring requirements. Candidates may generally go through multiple stages such as:
1. Application & Resume Screening:
Amazon reviews applications to identify candidates whose educational background, technical skills, and experience match the Data Engineer Intern requirements.
2. Online Assessment:
Shortlisted candidates may be invited to complete an online assessment covering areas relevant to the position, such as SQL, programming, problem-solving, and analytical skills.
3. Technical Interview:
Candidates may be evaluated on SQL, Python, data structures, databases, data engineering concepts, AWS technologies, ETL, data warehousing, and problem-solving.
4. Final Interview / Selection:
The final stage may include discussions with hiring managers or team members about technical skills, projects, communication abilities, and suitability for the internship.
About Amazon Company
Amazon is one of the world’s largest technology and e-commerce companies, operating across areas including e-commerce, cloud computing, artificial intelligence, machine learning, logistics, entertainment, and digital services.
Amazon’s data engineering teams work with large-scale datasets and technologies to build data platforms, pipelines, analytical solutions, and systems that support business decision-making.
The company provides opportunities for students and early-career professionals to gain experience working with large-scale technologies and real-world business problems.
