Top 5 highest paying jobs in technology in 2022

Top 5 highest paying jobs in technology in 2022

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We are transitioning, with some jobs being replaced by technology and others requiring specialised training. Here is all the information you need about the top 10 highest paying IT professions for you, with the new year of 2022 looming in the distance. 

If you are thinking about changing careers or expanding your skill set to future-proof your career, read on.

Why are Tech Jobs in Demand?

There is a huge need for tech jobs. This is caused by various variables, including the fast-expanding and constantly changing world of technology. There has never been a better moment to begin a career in information technology. You really can’t go wrong, from networking to cyber security.

Top In-Demand Highest Paying Jobs :

Many professionals are thinking of switching to a new industry to give their careers a fresh direction. Upskilling in cutting-edge fields will help them future-proof their talents so they can adapt and go forward.

1. Full Stack Developer

Throughout the world, full-stack developers are well-paid. However, a few of these IT specialists are still working in the web development industry. Businesses now require fully qualified full-stack engineers who can use more recent cloud platform providers like Google, container technologies like Kubernetes, and other AI-related advances.

According to AmbitionBox, the average annual compensation for a full-stack developer in India is 6.5 lakhs, with salaries ranging from 2.4 lakhs to 18.7 lakhs. Salary projections are based on full-stack developers’ 8k wages.

2. Data Scientists

Data scientists are among the most in-demand specialists as more businesses go digital and generate massive amounts of data. To help them make data-driven business decisions, organisations are actively hiring data scientists with programming, data visualisation, and machine learning expertise.

Given this enormous demand, data scientists may expect a base income that is 36% greater than that of most analytics professionals. An ideal salary for a Data Scientist in India is between 5-7 lakhs per year for entry-level work, 12–15 lakhs per year for middle-level work, and up to 21–25 lakhs per year for senior-level work.

3. CyberSecurity Specialist

The demand for highly trained Cyber Security specialists with problem-solving, analytical, and computer forensics skills to decode and trace all computational movements has increased, according to the tech sector.

Cybersecurity professionals ensure that people, organisations, and governments are protected from all types of online dangers and crimes. The average salary for professionals in this field ranges from about six lakhs per year at the entry-level to 10-12 lakhs per year at the mid-level to 30-40 lakhs per year at the senior level.

4. Product Manager

Product managers, who are frequently thought of as miniature CEOs and are in charge of launching and updating new product features, wear many hats, including those of technical specialists, management experts, communicators, and success evangelists.

In recent years, it has become one of the most sought-after roles. PayScale reports that the average annual income for product managers in India is Rs 17,41,318 and can reach 20 lakhs with the right expertise and upskilling.

5. Cloud Architects

All business and consumer operations will be conducted in the cloud. The most competitive job offers in the market are cloud software engineers, cloud architects, and cloud infrastructure engineers. Professionals with a degree in cloud computing who are also proficient in programming, database management, and Linux may see a salary increase of up to 60%.

At the beginning level, candidates in cloud computing make between 6 and 8 lakhs per year, 10 to 12 lakhs per year, and 30 lakhs per year, respectively. Some seasoned industry professionals might make up to 70 lakhs each year.

Land your Dream Job with Techmindz

Even though it’s the middle of the year now, 2022 still looks to be a great year for people with the right skill set since there are so many career options accessible and extremely strong employment trends for candidates with digital skills.

Learners can advance in their careers and move into high-growth possibilities by enrolling in the appropriate certifications and skill training centres like Techmindz.

Techmindz is a leading learning & mentoring platform backed by NDimensionZ, a 15-year-old technology company based in Infopark Kochi. The platform makes it possible for new talent to study, grow, and improve their knowledge of cutting-edge technologies like Python, Robotic Process Automation, Machine Learning, and Artificial Intelligence, among others.

Enrol today and see where Techmindz can lead you in your career!

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  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
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  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
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  • Command-line arguments
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  • Python Basic Data Types
  • What are the variables?
  • Introduction
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  • Understanding the Iterators
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  • Lambda Expressions
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  • Python Dictionaries
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  • Python Sets Examples
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  • Python packages and functions
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  • Python Packages & Modules
  • Overview of OOP
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  • Standard Python Exceptions
  • User-Defined Exceptions
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  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
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  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
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  • Matching vs searching

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  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
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  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
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  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
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  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
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  • Pagination
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  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
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  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
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  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site

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