In today’s market where AI is everywhere Python is one of the most sought-after skills and you can use python in a lot of different jobs.
If you are –
Someone proficient in Python who want to go into the market for jobs,
or you want to check out the possible job opportunities you can get after you learn Python,
or as an experienced Python developer you want to switch to other better Python opportunities.
Then stick with me till the end as we discuss about all the possible Python opportunities you can get in today’s market.
Python is a widely used programming language in today’s market, and you can get a ton of jobs that use Python. The following are some of the mostly paid, opt for job opportunities in Python –
- Python Developer / Software Engineer
- Full-Stack Developer
- Data Analyst
- Data Scientist
- Data Engineer
- Machine Learning/AI Engineer
- Test Automation Engineer
Let’s discuss about the job description, education, skills in python, skills outside python, salary and growth of each of these jobs.
What Will You Learn?
Python Developer / Software Engineer
Job Responsibility
Python developers are responsible for designing, implementing and maintaining software applications. They need to have a strong understanding of software development and be proficient in Python. They need knowledge of the software development life cycle (SDLC) and Agile methodologies.
Education
Bachelor’s degree in computer science, Engineering, or a related field.
Skills
- They need to identify, prioritize, and execute tasks in the software development life cycle.
- Reviewing and debugging different code by performing validation and verification testing.
- Document all the development phases and monitor multiple systems.
- Develop tools and applications by writing clean, efficient, reusable, and testable code.
- Work with the development team to define, design, and deliver new features.
- You will need to take part in designing and creating RESTful APIs for internal and partner consumption
Salary
Full-Stack Developer
Job Responsibility
A full-stack Python developer must understand both front-end and back-end development. These professionals have specialization in developing applications using Python programming language and are responsible for designing, coding, testing, and deploying high-quality software solutions.
Education
Bachelor’s degree in computer science or a related field (or equivalent work experience).
Skills
- Knowledge of Linux, git, and terminal-based editors such as vim and Emacs.
- Experience with Python programming languages and back-end development frameworks such as Django, Flask, and REST.
- Knowledge of SQL and NoSQL databases, and ORM (Object Relational Mapping) tools
- Ability to write HTML/CSS codes for designing
- Understanding of API development: RESTful APIs and GraphQL
- Having basic DevOps knowledge including Docker, and CI/CD pipelines
- Familiarity with agile methodologies
Salary
The average Full Stack Developer salary in India ranges between 5 to 9 LPA. The number can go as high as 16 LPA for experienced professionals with the right skills.
Data Analyst
Job Responsibility
Data analysts collect, process and perform statistical analyses on large datasets. They use Python for data cleaning, transformation and visualization.
Education
A degree in mathematics, statistics or computer science is typically required.
Skills
- Proven experience as a Data Analyst or similar role.
- Proficiency in data analysis tools such as Excel, SQL, and Python/R.
- Experience with data visualization tools like Tableau, Power BI, or similar platforms.
- Strong analytical thinking and problem-solving skills.
- Ability to interpret large amounts of data and convey insights in a simple, digestible format.
- Excellent communication skills, both written and verbal.
- Detail-oriented with the ability to work under pressure and manage multiple tasks.
- Knowledge of statistical techniques and data modeling.
Salary
The average Data Analyst Fresher Salary in India is INR 4-6 LPA per year. If a person has experience of 2-3 years then the figure may increase up to 7-9 LPA.
Some of the top recruiters of Data Analysts are IBM, Accenture, Wipro, Microsoft, Capgemini, Cognizant etc. Google is the highest payer in the market for Data Analysts with an average package of INR 13.40 LPA. The highest salary of Data Analyst in India can go up to as much as INR 22 LPA.
Data Scientist
Job Responsibility
Data scientists analyze and interpret complex data to help organizations make informed decisions. They use Python for data cleaning, analysis and visualization.
Education
A degree in mathematics, statistics or computer science is typically required.
Skills
- Experience in working with Large Language Models (LLM) & Generative AI
- Intermediate proficiency in SQL to query, store and manage large datasets
- Strong programming skills in Python (Pandas, NumPy, Scikit-learn)
- Have good understanding of ML techniques like Model regularization, Boosting, Random Forests, Ensemble Methods, time series modelling
- Ability to transition seamlessly from complex analytics to simple/precise business implications
- Excellent Written and Communication skills and strong team player
Salary
Data Scientist Salary in India ranges from ₹3.7 to ₹25.8 Lakhs, with an average salary of ₹9,27,349 per year.
Average monthly salary of a Data Scientist with relevant experience is ₹70,000 to ₹75,000 INR. According to current standards, the lowest or entry-level Data Scientist salary in India is ₹5,77,893 per year.
However, with experience, your location, and the company you work for, your salary can go up to ₹19,44,566 per annum.
Data Engineer
Job Responsibility
Data engineers design, build and maintain the infrastructure that allows data scientists and analysts to work with large datasets. They use Python to write scripts and automate data pipelines.
Education
A degree in computer science, engineering or a related field is typically required.
Skills
- Data Engineering, Data Modeling, and ELT skills
- Data Warehousing and Data Analytics expertise
- Experience with developing and maintaining data pipelines
- Proficiency in Python and SQL
- Strong analytical and problem-solving skills
- Experience with Google Cloud, AI and machine learning technologies
Salary
Machine Learning/AI Engineer
Job Responsibility
A Machine Learning Engineer is involved in building and deploying different machine learning models and AI applications using Python libraries like TensorFlow, Keras, and sci-kit-learn. Knowledge of Python helps machine learning engineers implement different Python libraries for data manipulation, cleaning, exploratory data analysis, and preprocessing data into a format suitable for model training. You can work on projects like image recognition, natural language processing, and predictive analytics.
Education
Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.
Skills
- Proficiency in Python programming language. Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, sci-kit-learn, etc.
- Strong understanding of machine learning concepts, algorithms, and techniques.
- Have practical knowledge of data manipulation and analysis using libraries like Pandas, NumPy, etc.
- This role requires the knowledge of software engineering principles and best practices.
- Have excellent analytical and problem-solving abilities, and ability to meet deadlines
- Candidates must have good oral and written communication skills, and ability to explain complex concepts clearly.
- They must be able to work in a team which requires good collaboration skill
- Have the willingness to learn new technologies and methodologies quickly.
- Machine learning engineers must have attention to detail and accuracy in working.
Salary
Entry-level to this job involves a pay range of ₹ 6,00,000 to ₹ 8,00,000 per annum, and this is for freshmen or those who have less than two years of experience.
While mid-level professionals in the Indian industry may earn between ₹10,00,000 and ₹15,00,000 per annum, the overlying median scale may incline from ₹8,00,000 to ₹20,00,000 per annum.
Senior ML engineers indicate more experience with a salary that is much higher than the average, especially among those with over five years of experience. From this job, they can earn between ₹ 20,00,000 and ₹30,00,000 per annum, but they can rise up to ₹ 50,00,000 per annum.
Test Automation Engineer
Job Responsibility
A test automation engineer is responsible for implementing different automated testing strategies, frameworks, and tools to check and resolve bugs, as well as ensuring the quality and reliability of software before deploying it into the market. To train a machine, you need knowledge of coding language and your Python skills.
Education
Bachelor’s degree in computer science, Information Systems, Engineering, or a related field; equivalent practical experience considered.
Skills
- Experience in using Python for test automation scripts
- Proficiency in Selenium WebDriver for creating browser-based regression automation suites and tests.
- In-depth knowledge of test frameworks like Pytest and BDD methodologies (Cucumber).
- Know the use of software QA tools and processes, writing and executing test cases, defect tracking, and test reporting.
- Good knowledge of software development life cycles and Agile/Scrum development methodologies.
- Understand the use of version control systems like Git and CI/CD tools such as Jenkins.
- Candidates must have the ability to write clear, concise, and comprehensive test plans and cases.
- Hands-on experience with performance and/or security testing
Salary
Conclusion
Python is an in-demand skill, and the upcoming AI revolution is another indicator that python related skills can give you an edge over other skills no matter where you are.
Many non-technical fields can also leverage python like product manager, performance marketer etc.
Having an in-depth understanding of Python can open the doors to a wide range of careers across many different industries.
Liked this blog and want to read more such blogs? Read the next blog right now!
References
- https://onlinedegrees.sandiego.edu/careers-using-python/
- https://flatironschool.com/blog/jobs-you-can-get-knowing-python/
- https://codegnan.com/python-career-paths/
- https://tripleten.com/blog/posts/5-types-of-jobs-that-use-python
- https://www.geeksforgeeks.org/data-analyst-salary-in-india/
- https://www.geeksforgeeks.org/data-scientist-salary/
- https://www.geeksforgeeks.org/machine-learning-engineer-salary-in-india-2024
