Role Overview
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.
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work.
Key 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
Requirements & Eligibility
- 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
Required Skills & Tech
SQLPythonRDBMSBig DataNoSQL