(S-684) Data Engineer

(S-684) Data Engineer

22 Dec

22 Dec



Job Description

As a Data Engineer Intern 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

Core responsibilities may include:

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 Amazons business domains.

Own the development and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions

Job Locations include: Bangalore-KA, Hyderabad-TS, Gurgaon-HR


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


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

The original job offer can be found in Kit Job:

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