AWS Jobs: How to Get aws job in Less Time in 2024?

In this step by step guide we will learn about How to get an AWS cloud or AWS data engineer high-paying AWS jobs in less time in India or abroad.

Getting a high-paying jobs as an AWS cloud or AWS data engineer in India within two months can be a challenging task, especially if you’re starting from scratch.

However, with focused effort and dedication, it’s possible to acquire the necessary skills and land a job in this field. Here’s a step-by-step guide to help you achieve your goal:

What is AWS Cloud and AWS data Engineering?

AWS Cloud and AWS Data Engineering are two related but distinct areas within the broader field of cloud computing and data engineering, respectively. Here’s an overview of each:

1. AWS Cloud:

AWS (Amazon Web Services) Cloud refers to the collection of cloud computing services offered by Amazon.

It provides businesses and individuals with a wide range of computing resources, storage options, networking capabilities, and other functionalities on a pay-as-you-go basis.

Some of the key services provided by AWS include:

  1. Compute Services: Services like Amazon EC2 (Elastic Compute Cloud) provide resizable compute capacity in the cloud.
  2. Storage Services: AWS offers various storage solutions such as Amazon S3 (Simple Storage Service) for object storage and Amazon EBS (Elastic Block Store) for block storage.
  3. Database Services: AWS provides managed database services like Amazon RDS (Relational Database Service) and Amazon DynamoDB for NoSQL databases.
  4. Networking Services: Services like Amazon VPC (Virtual Private Cloud) allow users to provision a logically isolated section of the AWS Cloud.
  5. Security and Identity Services: AWS IAM (Identity and Access Management) helps manage user access to AWS resources securely.

AWS Cloud Engineers design, implement, and manage cloud solutions using AWS services. They ensure that cloud environments are scalable, secure, and optimized to meet the needs of the organization.

AWS Data Engineering:

AWS Data Engineering involves designing, building, and maintaining data infrastructure and systems on the AWS platform.

Data engineers are responsible for collecting, storing, processing, and analyzing data efficiently and reliably. In the context of AWS, data engineering may involve:

  1. Data Storage: Storing large volumes of structured and unstructured data using services like Amazon S3, Amazon Glacier, and Amazon EBS.
  2. Data Processing and Analytics: Utilizing services like Amazon EMR (Elastic MapReduce) and Amazon Redshift for processing and analyzing data at scale.
  3. Data Integration and ETL: Building data pipelines to extract, transform, and load data from various sources using tools like AWS Glue.
  4. Data Warehousing: Implementing data warehousing solutions using Amazon Redshift for business intelligence and analytics purposes.
  5. Streaming Data: Processing and analyzing real-time streaming data using services like Amazon Kinesis.

AWS Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data infrastructure meets the organization’s business requirements and performance goals.

Related Article: What is AWS Glue? – Comprehensive Guide

How to get an AWS cloud or AWS data engineer jobs?

In this below steps we will explore the ways for getting an AWS cloud or AWS data engineer jobs by consistently following the steps and efforts.

Step 1: Understand the Job Requirements

Research job postings for AWS cloud and AWS data engineer positions to understand the skills, qualifications, and certifications that employers are looking for.

Step 2: Learn the Fundamentals of Cloud Computing

  1. Cloud Computing Concepts: Understand the basics of cloud computing, including service models (IaaS, PaaS, SaaS) and deployment models (public, private, hybrid).
  2. AWS Fundamentals: Familiarize yourself with core AWS services such as EC2, S3, RDS, Lambda, and IAM.

Step 3: Gain Proficiency in AWS Services

  1. Online Courses: Enroll in online platforms like Coursera, Udemy, or A Cloud Guru to take AWS certification courses.
  2. Hands-on Practice: Create an AWS Free Tier account and practice deploying and managing services.

Step 4: Choose a Specialization

Decide whether you want to specialize in AWS cloud architecture or AWS data engineering.

Step 5: Specialize in Data Engineering (Optional)

If you choose to specialize in AWS data engineering:

  1. Learn Data Engineering Concepts: Understand data modeling, ETL (Extract, Transform, Load) processes, and data warehousing concepts.
  2. AWS Data Services: Learn AWS data services like AWS Glue, Amazon Redshift, Amazon Athena, and Amazon EMR.

Step 6: Obtain AWS Certifications

  1. AWS Certified Solutions Architect – Associate: This certification validates your understanding of AWS services and how to design scalable, highly available systems on AWS.
  2. AWS Certified Data Analytics – Specialty: This certification focuses on data analytics, including collection, ingestion, storage, and analysis on AWS.

Step 7: Build a Portfolio

Create projects showcasing your AWS skills. This could include deploying applications, setting up data pipelines, or implementing analytics solutions on AWS.

  1. LinkedIn: Update your LinkedIn profile with your skills, certifications, and projects.
  2. Job Portals: Apply for AWS cloud and data engineering positions on job portals like LinkedIn, Naukri, Indeed, and Glassdoor.
  3. Networking: Attend tech meetups, conferences, and webinars to network with professionals in the industry.

Step 9: Prepare for Interviews

  1. Technical Interviews: Be prepared to answer technical questions related to AWS services, data engineering concepts, and real-world scenarios.
  2. Behavioral Interviews: Practice answering behavioral questions that assess your problem-solving skills, teamwork, and communication abilities.

Step 10: Continuous Learning and Improvement

Stay updated with the latest developments in AWS services and data engineering technologies through blogs, forums, and online communities.

Additional Tips:

  • Time Management: Allocate sufficient time each day for learning and practice.
  • Consistency: Stay consistent with your learning schedule to make steady progress.
  • Seek Guidance: Join online forums or communities where you can seek guidance and support from experienced professionals.
  • Stay Motivated: Keep yourself motivated by focusing on your end goal and celebrating small achievements along the way.

Related Article: Who is a Data Engineer & How to Become a Data Engineer?


In summary, AWS Cloud Engineering focuses on designing and managing cloud infrastructure using AWS services.

While AWS Data Engineering focuses on building and maintaining data infrastructure and systems for managing and analyzing data on the AWS platform.

Both areas are critical components of modern IT and are in high demand as organizations increasingly adopt cloud computing and data-driven decision-making approaches.

By following this guide and putting in consistent effort, you can increase your chances of securing a high-paying AWS cloud or AWS data engineering job in India within two months.

However, keep in mind that the job market may vary, and it might take longer to find the right opportunity.