Apply for Amazon Intern 2025! Hiring Data Engineer 2M Job in Hyderabad, Bangalore, Chennai for For final year BE/BTech/Masters, gain experience in SQL, Python, AWS, Data Warehousing, ETL, Big Data while working on impactful pipelines for Amazon
Candidates who are interested in Amazon Intern Job Openings can go through the below to get more information.
Key Job details of Data Engineer 2M jobs
Company: Amazon
Qualifications: BE/BTech/ME/MTech
Experience Needed: Freshers
Job Req ID: 2936655
Start Date: 28th July 2025
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Location: Hyderabad, Bangalore, Chennai
Job Description
As a Data Engineer Intern you will be working on building and maintaining complex data pipelines, assemble large and complex datasets to generate business insights and to enable data driven decision making and support the rapidly growing and dynamic business demand for data.
You will have an opportunity to collaborate and work with various teams of Business analysts, Managers, Software Dev Engineers, and Data Engineers to determine how best to design, implement and support solutions. You will be challenged and provided with tremendous growth opportunity in a customer facing, fast paced, agile environment.
Job Locations-By applying to this position your application will be considered for all locations we hire for in India. This includes but is not limited to Bengaluru, Chennai, Hyderabad, Delhi and Pune.
Please note that Amazon internships require full-time commitment during the duration of the internship. During the course of internship, interns should not have any conflicts including but not limited to academic projects, classes or other internships/employment. Any exam related details must be shared with the hiring manager to plan for absence during those days. Specific team norms around working hours will be communicated by the hiring/ reporting manager at the time of commencement of internship. Candidates receiving internship will be required to submit declaration of their availability to complete the entire duration of internship duly signed by a competent authority at their University. Internship offer will be subjected to successful submission of the declaration.
Job Responsibilities
Design, implement and support an analytical data platform solutions for data driven decisions and insights
Design data schema and operate internal data warehouses & SQL/NOSQL database systems
Work on different data model designs, architecture, implementation, discussions and optimizations
Interface with other teams to extract, transform, and load data from a wide variety of data sources using AWS big data technologies like EMR, RedShift, Elastic Search etc.
Work on different AWS technologies such as S3, RedShift, Lambda, Glue, etc.. and Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
Work on data lake platform and different components in the data lake such as Hadoop, Amazon S3 etc.
Work on SQL technologies on Hadoop such as Spark, Hive, Impala etc..
Help continually improve ongoing analysis processes, optimizing or simplifying self-service support for customers
Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Enjoy working closely with your peers in a group of talented engineers and gain knowledge.
Be enthusiastic about building deep domain knowledge on various Amazon’s business domains.
Own the development and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
Basic Qualifications
Candidates must be in their Final year of Bachelor or Master Course in Computer Science or Engineering or related field
Hands-on experience in SQL
Hands on experience in languages like Python etc.
Knowledge of RDBMS, Big Data, NOSQL, ETL and Data-warehousing Concepts
Candidate must have good written and oral communication skills, be a fast learner and have the ability to adapt quickly to a fast-paced development environment
Preferred Qualifications
Hands on Experience with AWS technologies like Amazon S3, EMR, Amazon RDS, Amazon Redshift etc.
Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Knowledge of cloud services such as AWS or equivalent
Knowledge on different reporting/visualization tools in the industry
Sharp problem solving skills and ability to resolve ambiguous requirements
Apply Now for Amazon Data Engineer 2M Jobs
How to Apply Amazon Intern 2025
Click on Apply to Official Link Amazon Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
Technical:
- Explain ETL and how you would design a data pipeline for real-time data ingestion.
- Write an SQL query to find duplicate entries in a dataset.
- What are the differences between SQL and NoSQL databases?
- Describe a scenario where you optimized a data pipeline.
- Explain how AWS services like S3, EMR, and Redshift can work together.
Coding:
- Write Python code to reverse a linked list.
- Write SQL to fetch the top 5 most frequently occurring values in a column.
Behavioral:
- Tell us about a project where you worked on a data pipeline.
- How do you prioritize tasks in a fast-paced environment?
- Describe a time you had to debug a complex issue under a deadline.