Amazon Part Time It Remote Jobs, Remote Jobs For Freshers Apply For Best Now (Data Engineer Internship)

Company Name: Amazon

Job Name: Data Engineer Internship

Salary: $20-$30 (Per Hour)

Qualification: Bachelor’s

Language : English

Location: USA

About Company : Amazon.com, Inc. is an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence

Full Job Description

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If This Is You, You Should Think About Working With Us As An Intern In The Summer Of 2023. A Data Engineer Intern Is Needed By One Of Amazon’s Many Business Lines. The Brightest Engineers In The Field Have The Chance To Collaborate With Amazon Interns As They Continuously Innovate For Our Customers. An Employer And A Mentor Will Be Matched With You. Early In Your Career, You Will Have The Chance To Influence The Development Of Amazon Technology And Take The Lead On Important Projects. The Company’s Most Difficult Technical Problems Will Be Partially Resolved Thanks To Your Work.

Along With Working On A Significant Project, You Will Have The Chance To Interact With Amazonians For The Purpose Of Developing Your Career And Yourself, Growing Your Network, And Having Fun With Other Interns. We Provide You With The Tools To Control Your Summer And Gain Experience In The Real World, Regardless Of Where Your Internship Is Located.
Beginning In May Through July 2023, Amazon Internships Are Full-Time (40 Hours Per Week) For 12 Weeks. After Their Internship Is Over, Applicants Must Have At Least One Quarter/Semester Left.
We’re Looking For Those Who Are Inquisitive, Have Big Ideas, And Want To Shape The Future.
You Will Develop Into The High-Impact, Visionary Individual At Amazon That You Already Know You Are Capable Of Being. There Will Be Exciting New Challenges, The Chance To Learn New Skills, And Opportunities For Personal Growth Every Day.
At Amazon, You’ll Say It Frequently. How Often Can You Say That Your Work Alters The Course Of The World? Come Define Tomorrow With Us.

You Will/May: As An Intern Data Engineer.

Create, Implement, And Automate The Deployment Of Our Distributed System For Gathering And Processing Log Events From Various Sources.
Create Data Schema, Manage Internal Data Warehouses, And Use SQL/Nosql Database Applications.
Take Responsibility For The Design, Creation, And Upkeep Of Ongoing Metrics, Reports, Analyses, And Dashboards That Engineers, Analysts, And Data Scientists Use To Inform Important Business Decisions.
Tracking And Resolving Any Operational Or Data Problems In The Data Pipelines.
Lead The Development Of Architectural Strategies And Their Implementation For Upcoming Reporting, Analytics, And Data Storage Solutions.
Create Automated Data Pipelines Based On Code That Can Process A Huge Amount Of Data.
Tune Inefficient Queries To Increase Database And Data Warehouse Performance.
To Identify Opportunities And Problems, Collaborate With Business Analysts, Data Scientists, And Other Internal Partners.
Help The Team In The Event Of A Problem By Assisting With Troubleshooting, Investigating The Root Cause, And Thoroughly Resolving Defects.

BASIC REQUIREMENTS.

Will Graduate With A Bachelor’s Degree In Computer Science, Computer Engineering, Information Management, Information Systems, Or A Related Technical Field, With A Date Of Conferral Between October 2023 And September 2026.
Data Transformation Knowledge And Experience.
Knowledge Of Database, Data Warehouse, And Data Lake Solutions.
SQL Knowledge.
Knowledge Of At Least One Scripting Language (E. G. Python And Scala).

PRIORITY QUALIFICATIONS.

Enrolled In A Master’s Program Or An Advanced Technical Program.
Any Prior Technical Internships, If Any.
Previous AWS Working Experience.
Has The Ability To Explain The Fundamental Variations Between Datatypes (E. G. Relational, JSON, And Nosql.
Be Familiar With The Fundamentals Of Creating And Applying A Data Schema (E. G. , Normalization, And The Choice Between A Relational Model And A Dimensional Model).
Proven Ability To Create Data Pipelines Or Automated ETL Procedures.
Expertise In Creating And Refining SQL Queries For Large-Scale Datasets.
Knowledge Of Big Data Processing Technology (E. G. , Hadoop Or Apachespark), The Technical Architecture Of The Data Warehouse, The Infrastructure Elements, And The Environments And Tools For Reporting And Analytics.