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Check out these highest-paying jobs across engineering domains.

Salary is the defining criterion when it comes to employment.

The primary reasons why students from premier institutions get the big paycheck has to do with their expertise in the tools being used in the industry, their understanding of the supply chain, and experience with project management.

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Firms tend to hire engineers who can start working and producing value from the first day without having a long, drawn-out induction period. Towards the end of this blog, you will learn about the different ways you can work on industry-relevant projects and get recruited in the domain of your choice.

Salaries for jobs in the mechanical engineering domain

Mechanical engineers earn a median annual salary of ₹352,835, this amount does vary from domain to domain with some like aerospace engineering paying considerably higher than others.

Design engineering is one of the job roles that you can apply for out of college, to start your career as a design engineer you need to have experience in design tools like AutoCAD, CATIA, and Solidworks while having demonstrable experience in working on industry projects. Graduates who fulfill these criteria and start their career as design engineers can expect to draw an average salary of ₹4,60,678/year.

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If you are interested in the flow of the creation of a new product from scratch, you should consider becoming a product design engineer. A product design engineer works closely with the various stakeholders with an aim to create a cohesive product before it hits the market. A product design engineer constantly reviews the prototype to ensure it meets the specifications and also provide support once the product has reached the open market. Students who wish to start their career as a product engineer should have experience in AutoCAD, and other design software tools like Seimens NX, MATLAB, Simulink and can expect an average annual salary of ₹6,12,945/year

Computational fluid dynamics is one of the few domains in engineering that will always require new talent. CFD engineers are instrumental in designing everything from the latest F1 car to a simple plastic water bottle that you use every day and have one of the highest paying jobs in engineering. With such a diverse range of responsibilities to choose from students can expect a satisfying career in the CFD domain. Students who are considering a career in CFD should have an understanding of any popular meshing tools like Ansys Fluent, OpenFOAM, Converge, or Autodesk while having a good understanding of the principles behind Fluid Dynamics, Heat Transfer & Mass Transfer. Average salaries in the domain of CFD are around ₹5,30,000.

Salaries for different jobs in the electric and electronics engineering domain

The salary range for electrical and electronics engineers falls between ₹1,90,000 and ₹9,00,000 with the annual average salary being ₹3,40,000. Among the domains of electrical engineering, the fields related to electric vehicle design and development, and in the electronic engineering domain fields related to wireless communication and embedded engineering are among the fastest-growing sectors currently.

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Everything from the lights in your house to the pacemaker of the heart are examples of embedded systems, if you want to start your career in the embedded systems space you will have the whole gamut of options to choose from.

As an embedded systems engineer you will need to design, develop, test, and launch software that works seamlessly with your hardware. Students should also have experience in working on industry-standard tools like Simulink or the LDRA test suite. The average starting salary for an embedded engineer in India is around ₹433,927/year with companies like Cyient, TCS, Robert Bosch, TATA Elxsi being the primary firms looking for embedded engineers currently.

India’s Electric Vehicle domain is set to become one of the world’s largest markets for hybrid or complete electric vehicles creating an internal market of $206 billion by 2030. This surge in investments in the sector will correspond to an increase in the number of jobs available to electrical engineers with a passion to change the world. With an average salary of ₹7,00,000/year, a career in the EV industry will have the highest remunerations in the country. Some of the roles that an electrical engineer can apply for in the EV-HEV industry include; BMS engineer, design engineer, and embedded engineer among others.

Best engineering jobs in the software engineering domain

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A full-stack developer is a versatile developer who works on the back end and the front end of the website. The front end of a website makes use of software like Angular.js and jQuery while the back end of a website uses tools like MySQL, Javascript, and MongoDB. In India, a full stack developer draws an average salary of ₹582,659/year depending on the experience that an engineer has under their belt. If you want to start your career as a full-stack developer you should consider having a portfolio of projects which will showcase your expertise with both the frontend and backend tools. To have a head-start against your competition your portfolio must contain a working website, preferably an eCommerce site complete with an intuitive frontend and flawless payment gateway integration.

The data science domain constantly ranks among the highest paying engineering jobs in the world. In India, a data scientist can expect to earn an average salary of ₹698,412/year with some data science companies even offering stock options. Data science at its base is simply trying to make sense of data, drawing insights from the data that can be used to further the business, and presenting that data in an understandable format. Data science does not require you to be a genius at math, but it does require you to have an analytical mind that can draw inferences from randomness. If you want to start your career in data science, you should have a comprehensive understanding of how mathematics works, hands-on experience in Python programming, Power BI, and Tableau. You should also understand how server-side tools like SQL work and how you can leverage its functionality in data science.

Jobs for civil engineering graduates

Civil engineers can accept an annual salary of around ₹3,00,000 with increments based on experience in the tools being used in the industry. Students who want to start a career in the civil engineering domain should have a good understanding of the various CAD software tools used in the industry/company and also understand the civil codes. Some of the jobs that you can get in this domain are; site engineer, BIM modeler, design engineer, structural engineer, and precast production engineer. You can find employment at companies like GMR group and L&T

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Building information modeling is seeing an increase in adoption among architectural firms and structural engineering firms. To start a career in this domain you should have experience in software tools like Revit or Naviworks while having an experience in these tools is required, you should also be able to create plans that can be understood by engineers and architects easily. Becoming a BIM engineer is a collaborative effort and if you are not able to accept positive feedback, it will become detrimental to your career. If you start your career as a BIM modeler in the civil engineering domain you can accept an average salary of ₹ 4,60,833.

Structural engineering is a perennial job role under the umbrella of civil engineering and will exist as long as buildings are built. Students who want to start their career in this field should have experience in software tools like STAAD.pro and understand the various loads and stresses that act on the beams and trusses. A structural engineer can find employment building anything from a high-rise building to a nuclear power plant and can expect annual salaries of ₹4,86,046.

























Most Essential Data Science Skill everyone needs

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data science engineering (2900)

data science skills(1000)

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data analyst required skills(2900)

Data science is that one branch of engineering that has galvanized an entire generation. There are more people who dream of a career in the field of data science than engineers who want to reach the moon, discounting the crypto-engineers of course.

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Even though the data science domain in India has increased by 650% since 2012, more than 137,870 job roles still remain available, according to AIMresearch. This report from analyticsIndiaMag states that companies around the country are hiring data science experts who have between 0-5 years of experience with the median paycheck being Rs. 9.7 lakhs. For students who want to start their career in the data science industry, there is no time better than the present when the supply just does not meet the demand for competent engineers.

To become a data science specialist, however, you should have some experience in some prerequisite skills.

Mathematics

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Math is the fundamental basis of fields like data science, data engineering, data analysis, business analysis, and any other domain that is related to understanding and extracting data. If you want to start a career as a data science expert you should understand basic math like sets, Venn diagrams, and functions. Aside from this, you should also understand permutations and combinations and understand how to derive outcomes from a fixed set of inputs. Data will enable you to draw interference to predict the future and to help you design competent models you will require a working understanding of probability and statistics, which are two of the fundamental building blocks of data science.

Visualization

Unstructured data cannot be understood without training. Data science experts should be proficient in being able to present the data they have collected to an audience who does not have a similar degree of training as them. To be a data science expert who is always in high demand, you should have experience in using data visualization tools like Power BI or Tableau.

Excel

There is no escaping this spreadsheet application that changed the world. Decades after Excel was first launched, data science experts around the world still use this application. With the integration of Python scripts and visualization tools like Power, BI Excel is still being used for creating easy edit spreadsheets. Excel is useful not for large data sets but for creating smaller ones whose origin you can trace should you require to and since every data science expert understands and knows how to work on Excel it will help in collaborative projects.

SQL

One of the top three skills that every data science professional should have experience in, SQL is a database query language. Data science and databases go hand in hand, one cannot have a career in the former without understanding how the latter works. You should know how to select databases and understand the logic of database exploration. You should also know how to integrate SQL with both python and Excel.

Python

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Data science involves large data sets, but typically these data sets are unstructured and require a tool to convert into easily digestible spreadsheets. Python is simple to use and can be easily picked up relatively easily even if you have no prior experience in coding. The various machine learning and data science libraries can be used without the need for coding them from scratch. Understanding how to interact with databases, set up GUIs, and use PANDAS for data analysis is an essential data science skill-sets that are highly sought after in the industry.

Experience

At last count, there are more than 8000 job openings in Data Science on LinkedIn alone, and with digitalization having taken a huge step forward during the pandemic, the need for competent engineers with data science skills is skyrocketing. The most important skill required from a data analyst is that experience. It is estimated that by 2026 there will be 11.5 million data science jobs around the world and the lion’s share of these jobs will be for students who have between 0 and 5 years of experience. To stand out amongst your peers, you will need to have experience in all the different skills of a data scientist. Skill-Lync’s programs have been designed to ensure that you gain industry experience while working on the various projects which simulate problems being undertaken by data science firms around the world.






























High Demand Job Oriented Courses after Mechanical Engineering

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CFD engineering

Computational Fluid Dynamics is an evergreen field that can help you find employment in domains from Electrical Vehicles to rocket design. Students who want to start their career in CFD can expect an average salary of ₹3,00,000 with the pay package increasing with the number of software tools that a student has experience in and the number of projects that they have worked on.

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To start your career in CFD you should have a working knowledge of GUIs like Solidworks, StarCCM+, Ansys Fluent, etc. To start your career in this field you should have a solid understanding of preprocessing (where you mesh the geometry using software like Hypermesh, ANSA), solving (the process of solving underlying equations), and postprocessing ( where you are required to analyze and visualize data using software like GT Power or CONVERGE CFD) in addition to a strong grasp of fundamental theory involved like fluid mechanics and heat transfer.

Understanding the mathematical concepts behind CFD will help you use any of the software tools used in the industry, helping you build your career in the CFD domain; including aerodynamics, HVAC, IC Engines, and turbomachinery.

Some of the job roles that you apply for as a CFD engineer include,

  • CFD model builder
  • Powertrain simulation engineer
  • CFD applications engineer
  • CFD verification engineer
  • CFD developer

Skill-Lync’s PG Program in CFD has been designed to be a job-oriented course for mechanical engineering students by placing special emphasis on industry-relevant projects. These projects simulate problems being solved in the industry and give students real industry insights into how these GUIs function.

Upon completion of our program, you will be able to find employment in firms like - Mahindra, TATA, FCA, BP, GE, Exxon Mobil, Boeing, Honeywell, TCS, Quest, CTS, and others.

Design engineering

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Every machine, device, or piece of equipment from the international space station to the device you are reading this article on all started as a design on a mood board. A domain that marries the art and math, engineers who start their career in this field have an understanding of the aesthetic of engineering while also being proficient in calculus.

To start your career in design engineering you should have experience in completing projects in the areas of solid modeling, surface modeling, sheet metal modeling, plastic modeling, and GD&T.

Most, if not all, design processes have the following structure,

‘Ideation - product design - manufacture design - plastic mold design.’

Which includes; solid modeling, surface modeling, plastic modeling, BIW component design, wiring harness, panel design, automotive class A surfacing, and GD&T

If you understand the fundamentals behind the math and physics of design engineering you will be able to start your career in any portion of the engineering design flow mentioned above. It is imperative that you have experience in software tools like NX CAD and Catia V5 to help start your career in the design engineering domain.

The job market for design engineers is filled with mechanical engineers who have a few months of experience in free software tools like autoCAD or creo creating a situation where hiring managers will not be able to separate candidates. To ensure that your portfolio stands out against the competition you will need to work on at least 10 industry related projects. This is the methodology followed in Skill-Lync’s job oriented design engineering course. While you are working on our career related courses we will help you connect with hiring managers on LinkedIn, helping you build a professional network that will ensure that you get interview opportunities.

CAE engineering / FEA

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If you are interested in physics, math, and any structural analysis (how heat produces stress in a component, how vibrations produce stress in a component, how dynamic forces produce stress in a component) then the domain that you are interested in should be structural analysis or Finite Element Analysis (FEA). In FEA engineering, engineers break down larger components like a door or a fender into smaller components, like a triangle, in a process called meshing. Meshing is essentially the process of breaking down using a preprocessor like ANSA or hypermesh. This step is followed by running the extracted data through a solver that solves the problem by applying equations like the Navier-Stokes equation. Once the answer has been derived by running the data through a solver like Nastran, LS-Dyna, ANSYS and visually presenting the results.

Career specialization for FEA engineers

  • CAE modeler
  • CAE analyst (solver)
  • CAE analyst (automation)

Skill-Lync’s job oriented courses in FEA will give you experience in industry-relevant projects like,

  • Meshing a complex plastic component (side door)
  • Sheet metal meshing (rear trunk extra wheel holder)
  • Meshing a full seat
  • Frontal, side, roof crush
  • Head impact on car
  • Macros for automation
  • Material modeling