Introduction
Data Science engineering falls under one of the most sought-after and in-demand job roles in the industry. This job profile is approvingly preferred by companies across all sectors globally. The best aspect of this job role is that it yields high salaries.
Today, companies look forward to hiring data engineers for handling big data and data mining. And yes, data engineering generates meaningful insights for business. This job role demands in-depth skills and hands-on expertise in Big Data. That's why you can expect a Data Engineer’s salary to be scaled up.
Who is a Data Engineer?
A data engineer is a specialized professional accountable to design an architecture that meets the data scientists’ demands. Data Scientists rely on data engineers to obtain, store and transform raw data. The data obtained is then used to draw analysis and interpretation.
Companies incorporate massive datasets to store, process and analyze. Data engineers are the professionals who assist businesses in this process. The data engineer must be an expert in building algorithms and pipelines. Algorithms usually help data scientists transform colossal datasets into vital information for businesses.
What is the Job Role of a Data Engineer?
Data engineers have to acquire the job role of storing datasets, extracting, and creating databases. They are held responsible for service applications' databases and managing the infrastructure. If you opt for data engineering as a career path, you have to analyze SQL data stores and a MongoDB NoSQL data warehouse.
Data engineers usually work in a team. In the team, they collaborate with software engineers and developers, data analysts, and designers. All these professionals work in a team collecting and manipulating data to acquire crucial business objectives.
Data engineer roles depend on the organization you work for. Also, the type of organization you work for determines the data engineer salary for freshers and seniors. As a data engineer, some of the basic job roles are as follows:
- Map guidelines on data stores
- Decide on the best storage technology – either SQL or NoSQL
- Regulate data warehouses
- Assure an updated datastore by copying it across multiple machines
- Build up plans and confirm results
- Identify patterns; i.e., past data
- Analyze and optimize database production
Always remember, that a career as a data engineer is both in-demand and lucrative. All you need to have is cutting-edge technical skills with creativity.
Data Engineer Salary
AmbitionBox listed the average annual salary of a Data Engineer is INR 8.1 LPA. You must be well aware of the fact that the Data Engineer's salary package depends on several factors. We will highlight the factors in the later section of the article.
Data Engineer freshers salary in India with less than 1 year of experience to 7 years ranges from INR 3.0 Lakhs to INR 20.1 Lakhs. This is the annual average salary package. With developed skills and increased years of experience; one can earn INR 1,218,983 LPA. The mid-level data engineers with maximum years of experience - 5-9 years earn a salary of around 12.3 Lakhs per annum in India.
Truth be told, today, companies face an insufficiency of requisite talent in the field. Due to this, companies are willing to pay handsome salary packages to the freshers. Freshers and mid-level data engineers in India can earn an average annual salary of INR 4,00,676 LPA. So, you have all chances to apply for reputed companies in the Big Data industry. Some of the companies dealing with Big Data and recruiting data engineers are Amazon, Spotify, Netflix, IBM, Deloitte, etc.
The senior data engineer' salary in India ranges from INR 6.3 Lakhs to INR 30.0 Lakhs with an average annual salary of INR 15.0 Lakhs. You can yourself view that the companies pay high compensation to Data Engineers, especially in 2022. Hence, focusing on your past work experience in Big Data enhances your skills and earns higher market value.
Factors Affecting Data Engineer Salary in India
Certain factors decide the average annual data engineer salary in India. The major factors include company size, industry reputation, geographical location, certifications, education qualifications, job position, and work experience.
Below are some of the major factors determining data engineering salary in 2022:
- Education
If you want to make a lucrative salary figure as a data engineer, you must pursue a Bachelor's degree along with a Master's. Bachelor's degree is the minimum requirement for data engineering positions.
Businesses and firms look forward to recruiting a master's degree or professional doctorate for senior-level data engineers. You need to acquire leadership skills and industry experience to get a profitable salary.
- Certifications
Specialized certifications tend to add to your skills. The certifications always highlight your resume and make you stand apart from your competitors in this field. Certifications cum training course in Data Engineering helps you earn more and get jobs in specialist roles.
Some of the best Data Engineering certifications are:
Cloudera Certified Data Engineer, Google Certified Data Engineer Certification, Google Professional Data Engineer, SAS Certified Big Data Professional Data Science Council of America (DASCA) Associate Big Data Engineer, and Data Engineer Certifications by Microsoft. The above-mentioned certification demonstrates specific skills employers seek.
- Years of experience
The more you are experienced, the more you earn. A senior-level data engineer with 10+ years of experience enjoys an increased salary. According to Payscale, data engineers with 1-4 years of experience make an average annual salary worth INR 728,288 lacs per annum.
The average yearly salary for professionals with 5 to 9 years of experience increases. Senior Data Engineer salary in India ranges between INR 7.6 Lakhs to INR 32.0 Lakhs with an average annual salary of INR 16.0 Lakhs.It is true that with years of experience, one can expect to move into more senior roles.
Are data engineers in high demand in 2022?
Yes, the demand for data engineering professionals in 2022 has witnessed a surge. Today, companies show high interest to hire data engineers. The increase in demand has directly resulted in a significant jump in the average salary structure.
How can you earn more in the data engineering field?
You have a great chance to multiply the average annual salary in India. The best way to earn an increased salary is to pursue advanced degrees in a particular field. The certifications will surely earn you more. Moreover, the certifications course elevates you more rapidly to senior roles.
Which are the highest paying cities in India for Data Engineers?
Data Engineers in India are eligible to earn handsome salary ranges. Some of the cities that pay high salaries are
- Delhi - INR 13,45,943 per year
- Noida, Uttar Pradesh- INR 11,98,518 per year
- Hyderabad, Telangana - INR 11,93,396 per year
- Bengaluru, Karnataka - INR 11,28,121 per year
- Jaipur, Rajasthan - INR 11,07,581 per year
- Chennai, Tamil Nadu - INR 10,00,435 per year
- Mumbai - INR 9,95,949 per year
- Pune - INR 861,549 per year
Final Takeaway
Individuals who are passionate about software engineering and data analysis must explore data engineering. 2022 and the future promises job security and lucrative salary packages. Just begin with basic data engineering skills today. You are sure to see yourself exploring this flourishing field in the future.
