Overview
Job Description
Amazon is looking for passionate and driven Data Engineer Interns to join our data engineering team. You will contribute to the design, development, and maintenance of large-scale data platforms to support data-driven decision-making processes across the organization.
As an intern, you will work closely with a diverse set of teams including Business Analysts, Managers, Software Development Engineers, and other Data Engineers. This internship provides an excellent opportunity to gain hands-on experience in big data technologies and cloud platforms, while building critical thinking and problem-solving skills in a fast-paced environment.
Roles and Responsibilities
- Build and maintain scalable and reliable data pipelines for analytics and business insights
- Design and operate data warehouses using SQL/NoSQL databases
- Collaborate on data modeling, architecture discussions, and optimizations
- Extract, transform, and load data from multiple sources using AWS tools such as EMR, RedShift, and Elastic Search
- Work with AWS services like S3, Lambda, Glue, and explore emerging technologies
- Contribute to the development and optimization of data lakes using platforms like Hadoop and Amazon S3
- Implement SQL-based analytics on big data platforms using Hive, Spark, and Impala
- Improve existing data processes and enable self-service analytics
- Maintain metrics, dashboards, and reports to support key business functions
- Communicate effectively across teams and demonstrate initiative in solving data-related challenges
Internship Guidelines
- This is a full-time internship requiring complete availability during the internship period
- Interns must not have any conflicting academic projects, employment, or examinations
- Any exam-related absence must be pre-communicated with the hiring manager
- Candidates are required to submit a university-signed declaration confirming their availability for the full internship duration
Basic Qualifications
- Final-year student in Bachelor’s or Master’s program in Computer Science or related field
- Experience in writing and optimizing SQL queries
- Familiarity with Python or similar programming languages
- Understanding of data engineering concepts: RDBMS, Big Data, NoSQL, ETL, and Data Warehousing
- Strong verbal and written communication skills
- Ability to work independently and adapt quickly to a fast-paced environment
Preferred Qualifications
- Experience with AWS technologies: Amazon S3, EMR, RDS, RedShift
- Understanding of software engineering best practices and development lifecycle
- Knowledge of Agile methodologies, version control, testing, and DevOps tools
- Familiarity with reporting and visualization tools
- Strong analytical and problem-solving abilities
- Understanding of computer science fundamentals: data structures, object-oriented programming, algorithms, and OS concepts
Technical Skills Required
SQL, Python, RDBMS, Big Data, NoSQL, ETL, Data Warehousing, AWS, Hadoop, Spark, Hive, Impala, RedShift, Lambda, Glue, S3, EMR, Elastic Search, Data Modeling, Dashboarding Tools, Object-Oriented Design, Algorithms, Data Structures, Cloud Computing
Additional Information
- Amazon is an equal opportunity employer
- Interns with disabilities can request accommodations during the recruitment process by visiting: Amazon Accommodations Portal
Apply Now
Interested and eligible candidates can apply through Amazon's official career portal.
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Education Requirements
- Pursuing or completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Eligible Batch Years
Amazon
Amazon is a multinational technology and e-commerce giant founded in 1994 by Jeff Bezos in Seattle, Washington, USA. Originally launched as an online bookstore, Amazon has since evolved into one of the world's largest and most diversified companies, offering products and services across retail, cloud computing, digital streaming, artificial intelligence, and logistics. Its mission is "to be Earth's most customer-centric company," striving to offer customers the widest selection, lowest prices, and utmost convenience.
With over 1.5 million employees globally, Amazon operates extensive fulfillment and delivery networks, powers its AWS (Amazon Web Services) cloud platform used by millions of businesses, and owns subsidiaries such as Whole Foods Market, Audible, and Twitch. The company consistently ranks among the top in global market capitalization and is recognized for its innovation, operational efficiency, and disruptive impact on multiple industries. Recent developments include continued expansion of AWS services, advancements in AI-driven shopping experiences, and sustainability initiatives aimed at achieving net-zero carbon emissions by 2040.
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