Amazon Off Campus Jobs | Data Engineer Intern 2027 | Bengaluru, Chennai, Hyderabad & Noida | Freshers

Amazon Off Campus Jobs | Data Engineer Intern 2027 : Amazon is offering a Data Engineer Intern 2027 opportunity in India, with applications considered for multiple locations including Bengaluru, Chennai, Hyderabad and Noida.

As a Data Engineer Intern, you will work on building and maintaining complex data pipelines, data platforms and datasets that support business insights and data-driven decision-making. The internship also provides an opportunity to collaborate with Business Analysts, Managers, Software Development Engineers and Data Engineers in a fast-paced, agile environment.

Amazon Data Engineer Intern 2027 – Job Overview

About the Amazon Data Engineer Internship

As a Data Engineer Intern, you will contribute to the development and maintenance of data engineering solutions that enable business teams to make data-driven decisions.

The role involves working with large and complex datasets, designing data schemas, developing data pipelines and supporting analytical data platforms.

You will collaborate with professionals across different teams to understand requirements, design solutions and implement reliable data systems. The internship is described as a customer-facing, fast-paced and agile environment with opportunities to develop practical data engineering skills.

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Job Locations

By applying for this position, candidates may be considered for internship opportunities across Amazon’s hiring locations in India.

The listed locations include:

• Bengaluru
• Chennai
• Hyderabad
• Noida

The application may be considered for other locations where Amazon is hiring for this internship in India.

Key Responsibilities

Amazon Off Campus Jobs | Data Engineer Intern 2027 : As a Data Engineer Intern, you may be responsible for:

• Designing, implementing and supporting analytical data platform solutions.
• Building solutions that enable data-driven decisions and business insights.
• Designing data schemas and working with internal data warehouses.
• Working with SQL and NoSQL database systems.
• Exploring different data models, architectures and implementation approaches.
• Optimizing data engineering solutions and processes.
• Extracting, transforming and loading data from a wide variety of sources.
• Working with AWS Big Data technologies such as Amazon EMR, Amazon Redshift and Elasticsearch.
• Working with AWS services including Amazon S3, Redshift, Lambda and AWS Glue.
• Exploring new AWS technologies to improve capabilities and efficiency.
• Supporting data lake platforms and technologies such as Hadoop and Amazon S3.
• Working with SQL technologies on Hadoop, including Spark, Hive and Impala.
• Improving analysis processes and simplifying self-service support.
• Following best practices related to data integrity, testing, validation, analysis and documentation.
• Developing and maintaining metrics, reports, analyses and dashboards.
• Working closely with other engineers and gaining knowledge from experienced team members.
• Building deeper domain knowledge across Amazon business areas.

Required Technical Skills

Candidates should have hands-on experience or knowledge in:

SQL & Programming

• SQL
• Python or similar programming languages
• RDBMS concepts
• NoSQL databases

Data Engineering

Knowledge of the following concepts is important:

• ETL
• Data warehousing
• Big Data
• Data lakes
• Data modeling
• Data pipelines
• Database systems

AWS & Cloud

Preferred experience includes AWS technologies such as:

• Amazon S3
• Amazon EMR
• Amazon RDS
• Amazon Redshift
• AWS Lambda
• AWS Glue

Knowledge of AWS or equivalent cloud services can be beneficial.

Big Data Technologies

Candidates with exposure to the following technologies can be better prepared for the role:

• Hadoop
• Apache Spark
• Hive
• Impala
• Amazon S3
• Amazon Redshift

Software Engineering Knowledge

Preferred qualifications also include knowledge of software engineering practices across the development lifecycle, including:

• Agile methodologies
• Coding standards
• Code reviews
• Source control and management
• Build processes
• Testing
• Operations

Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures and complexity analysis is also preferred.

Eligibility Criteria

The provided qualifications specify that candidates should be in their final year of a Bachelor’s or Master’s course in:

• Computer Science
• Engineering
• A related technical field

The additional qualification section also states that candidates should be enrolled in or have completed a Bachelor’s degree.

Candidates should have:

• Hands-on SQL experience.
• Programming experience with Python or a similar language.
• Knowledge of RDBMS, Big Data, NoSQL, ETL and data warehousing.
• Good written and verbal communication skills.
• Ability to learn quickly.
• Ability to adapt to a fast-paced development environment.

Internship Commitment

Amazon specifies that internships require a full-time commitment for the entire internship duration.

Interns should not have conflicting commitments during the internship, including:

• Academic projects
• Classes
• Other internships
• Employment

Candidates should communicate any exam-related requirements to the hiring manager so that arrangements can be planned where applicable.

Candidates receiving an internship offer will be required to submit a signed declaration confirming their availability for the complete internship duration, issued through a competent authority at their university. The internship offer is subject to successful submission of this declaration.

Specific working-hour expectations will be communicated by the hiring or reporting manager when the internship begins.

Preferred Skills

Candidates can strengthen their profile with knowledge of:

• AWS cloud services.
• Data visualization and reporting tools.
• Software engineering best practices.
• Agile development.
• Object-oriented design.
• Algorithms and data structures.
• Problem-solving and complexity analysis.
• Data modeling and architecture.

Strong problem-solving skills and the ability to work through ambiguous requirements are also preferred.

Who Can Apply?

This Amazon Data Engineer Intern opportunity is suitable for students who are:

• In the final year of a Bachelor’s or Master’s program.
• Studying Computer Science, Engineering or a related field.
• Comfortable working with SQL and Python.
• Familiar with data engineering concepts.
• Interested in AWS, Big Data and cloud technologies.
• Able to commit to the internship on a full-time basis.

Why Consider This Internship?

The Amazon Data Engineer Intern 2027 role provides exposure to a broad data engineering ecosystem. Interns can work with SQL, Python, AWS, data lakes, ETL, data warehouses, Big Data technologies and database systems.

The opportunity also involves collaboration with different technical and business teams, allowing students to understand how data platforms and analytical solutions support real-world business decisions.

How to Apply for Amazon Data Engineer Intern 2027?

Interested candidates for Amazon Data Engineer Intern 2027 Recruitment can apply through the official Amazon portal :

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