Considering a career as an Amazon Data Engineer? This comprehensive beginner’s guide will walk you through everything you need to know, from the recruitment process to the required skills and responsibilities. Discover what it takes to land a rewarding role developing solutions on Amazon’s industry-leading platforms.
Established in 1994 by Jeff Bezos Amazon initially started as an internet-based bookstore. Has since expanded to become one of the technology corporations worldwide. Guided by Bezos’s customer-focused approach and dedication to innovation the company headquarters are situated in Seattle, Washington.
Presently Amazon employs over 1.6 million individuals across the globe. Their operations encompass a range of services including running the worlds online marketplace offering cloud computing solutions to prominent organizations developing artificial intelligence advancements and manufacturing consumer electronics along with streaming video and music content.
Due to its recognition as one of the valuable brands globally interning at Amazon provides students with a unique opportunity to gain insights, into the inner workings of a pioneering technology innovator.
Company Website: www.Amazon.com
Job Role: Data Engineer
Qualification: Bachelors Degree
Batch: Any Batch
Salary: up to ₹11 LPA
Job Location: Bangalore
Last Date: ASAP
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In this position, you will be a key contributor and partner in developing analytics and insights that global executive management teams and business leaders will use to define Ad strategies and deep dive businesses. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable learn new technologies, exploring new areas and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. You will be working closely with Product managers, program managers, SDEs and UI engineers to build data engineering solution to provide in depth Ad insights, analytics and recommendations and drive India Ad business.
Your Role and Responsibilities
- Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and Reporting.
- Implement data structures using best practices in data modeling, ETL processes, and SQL, AWS – Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting.
- Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Interface with business customers, gathering requirements and delivering complete reporting solutions.
- Collaborate with Analysts, Business Intelligence Engineers, SDEs, and Product Managers to implement algorithms that exploit rich data sets for statistical analysis, and machine learning.
- Communicate effectively with product/business/tech-teams/other Data teams.
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline. – 1+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets A desire to work in a collaborative, intellectually curious environment. – Effective analytical, troubleshooting, and problem-solving skills
2+ years of experience as a Data Engineer, BI Engineer or related field in a company with large, complex data sources. – Experience working with AWS big data technologies (Redshift, S3, EMR, Glue) – Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations. – Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space.
The Amazon Data Engineer selection process for Graduate Intern off-campus recruitment includes the following stages:
Online Application and Screening
Visit the Amazon Careers page and submit your application for the relevant job role along with your resume. The recruiting team screens all applications and shortlists candidates for the next round.
Shortlisted applicants are invited to complete an online coding challenge or technical assessment to demonstrate relevant skills for the role they have applied for.
Candidates who successfully complete the assessments are scheduled for one or more technical discussions focused on computer science fundamentals, database concepts, system design etc.
Candidates who successfully clear the technical interviews appear for a human resources interview. The HR round evaluates your overall job fitment, strengths-weaknesses, salary expectations and organizational culture alignment.
Candidates who clear all the previous interview rounds are made a final job offer based on interview performance, profile match, and business requirements. The offer letter includes compensation details, job location and joining date.
How to Apply For Amazon
If you are interested in the Amazon off-campus recruitment drive, here is the application process to follow:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, please create an account.
- After registration, log in and fill out the application form with all the required details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
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