Amazon is hiring Data Engineer Interns to design, build, and maintain data pipelines, data warehouses, and large-scale data platforms. Selected candidates will work with Data Engineers, Software Engineers, Business Analysts, and Managers to develop data-driven solutions and support business decision-making.
Key Responsibilities
- Design, develop, and maintain analytical data pipelines.
- Work with SQL and NoSQL databases.
- Design data models and database schemas.
- Perform ETL operations (Extract, Transform, Load).
- Work with AWS technologies such as S3, Redshift, Lambda, and Glue.
- Work with big data technologies like Hadoop, Spark, Hive, and Impala.
- Develop reports, dashboards, and business metrics.
- Optimize data processing and analytics workflows.
- Maintain data quality, testing, validation, and documentation.
- Collaborate with cross-functional engineering teams.
Education Qualification
- Currently in the final year of a Bachelor's or Master's degree.
- Eligible fields: Computer Science, Engineering, or related technical disciplines.
- Must be enrolled in or have completed a Bachelor's degree as per the general job requirements.
Required Skills
- Strong SQL knowledge.
- Python programming.
- Knowledge of RDBMS and NoSQL databases.
- Understanding of ETL and Data Warehousing.
- Big Data fundamentals.
- Data Structures and Algorithms.
- Object-Oriented Programming.
- Problem-solving and analytical skills.
- Good verbal and written communication.