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.

Key job responsibilities
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
 

BASIC QUALIFICATIONS

- Are enrolled in or have completed a Bachelor's degree

PREFERRED QUALIFICATIONS

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