Data Engineer Salary in India for Freshers & Experienced (2023)
Last Updated :
18 Sep, 2023
The analytics market in India witnessed a whopping 35% Y-O-Y growth in 2022. As data assimilation is penetrating almost every Indian industry, the demand for data engineers is increasing faster than ever. In recent years, data science & engineering has been ranked amongst the top 5 most paying jobs worldwide. India alone has offered packages as high as ₹ 1.3 crores to exceptionally talented data engineers. Though there are no fixed criteria as to how a data engineering professional gets paid, it is a bankable and challenging career path overall. The average data engineer salary in India is ₹ 7.3 lakhs/year with the monthly payout being ₹ 54,500 to ₹ 56,000.
Data Engineer Salary in India
Who is a Data Engineer?
A data engineer is a person whose primary job is to prepare data for analytical or operational uses. Data Engineers must possess a strong grasp of relational and non-relational databases, data storage concepts, data analytics and business intelligence systems, machine learning, and big data tools. Their role majorly revolves around solving the problems related to gathering and preparing the data that align with organizational needs.
Job Role & Responsibilities of a Data Engineer
The responsibilities of a data engineer can vary from company to company. However, here are some tasks all data engineers are expected to perform:
- Collecting, cleaning and preparing data sets from primary and secondary sources that can be used for analysis
- Designing analytics programs, machine learning algorithms and statistical tools that convert raw data into useful information
- Deploy new data systems and improve the old ones to enhance business intelligence and data analysis operations
- Building computational methods that ensure the accuracy of data collection and management
- Constructing, testing, and managing data architectures and pipelines
- Collaborating with business leaders to understand business requirements
- Conducting thorough research to stay up-to-date with the latest industry trends
Note: Big Data Engineering is a slight variation of the same profession. Associated people here handle bigger datasets than traditional data engineers, making their jobs a bit lengthier and more comprehensive. The incomes of both of these professionals are similar. On average, a big data engineer earns about ₹ 7.5 lakhs per year with the monthly take-home salary ranging from ₹ 55,700 to ₹ 57,200.
Average Data Engineer Salary in India
When it comes to money, data engineering has surpassed some of the most popular IT careers in the last few years. Even specialist computer science roles like DevOps engineer, full stack developer and systems analysts were paid annual packages in the range of ₹ 5 to 6.5 lakhs in 2023.
As per the current industry trends, data engineers are earning an average salary of ₹ 7.3 lakhs per year. An entry-level data engineer salary can start from ₹ 3.1 lakhs per year. With more than 7 years of experience, the average income can go up to ₹ 20 lakhs per year and more.
Data Engineer Salary Based on Experience
The pay increases as the career progresses and candidates acquire more skills. The average annual salary of a data engineer as per experience is:
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₹ 8.1 lakhs
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₹ 14.5 lakhs
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₹ 20.5 lakhs
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₹ 25.7 lakhs
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Data Engineer Salary Based on Education
Data engineers with 0 to 1 years of experience are generally judged on the basis of both degree and professional knowledge. Candidates who have pursued bachelor’s or master’s in data science, computer science, statistics and mathematics & computing are usually preferred over others.
In 2023, the average salary of a data engineer graduating from a tier-1 college like IIT Bombay is ₹ 14.5 lakhs per year, which is about 60% more than the collective average data engineer salary in India. Whereas for top tier-2 and tier-3 colleges, this figure is valued at ₹ 7.2 lakhs per year and ₹ 5.4 lakhs per year respectively.
But with the boom of startups in India, several companies have started considering the skill sets of people rather than their degrees. All you need to do is prove to the employer why you are a good fit. Check out the Data Science With Python Tutorial to amplify your skills in data collection and analysis.
Data Engineer Salary Based on Location
Ironically, the most expensive metropolitan cities in India offer the best packages to data engineers. As per the latest reports, professionals in Gurugram and Bangalore have secured the highest packages as compared to the rest of the country. Here is how a data engineer gets paid in major Indian tech hubs:
- Lowest: ₹ 3.8 Lakhs
- Average: ₹ 10 lakhs
- Highest: ₹ 20.0 Lakhs
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- Lowest: ₹ 3.2 Lakhs
- Average: ₹ 6.2 lakhs
- Highest: ₹ 17 Lakhs
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- Lowest: ₹ 3.2 Lakhs
- Average: ₹ 18.0 Lakhs
- Highest: ₹ 20.0 Lakhs
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- Lowest: ₹ 3.0 Lakhs
- Average: ₹ 6 lakhs
- Highest: ₹ 15.5 Lakhs
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- Lowest: ₹ 3.7 Lakhs
- Average: ₹ 7 lakhs
- Highest: ₹ 17 Lakhs
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- Lowest: ₹ 4 Lakhs
- Average: ₹ 10 lakhs
- Highest: ₹ 24 Lakhs
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- Lowest: ₹ 3.7 Lakhs
- Average: ₹ 7.5 lakhs
- Highest: ₹ 18.5 Lakhs
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- Lowest: ₹ 3.1 Lakhs
- Average: ₹ 7.3 lakhs
- Highest: ₹ 20 Lakhs
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Data Engineer Salaries by Company
Esteemed multinational corporations dominate the data engineering landscape when it comes to paying well. Also, there is a sure-sure annual salary hike of 7-15% in the more prominent firms. However, there are also many up-and-coming companies that are known to pay employees generously. Average data engineer salary at a startup lies between ₹ 5.5 lakhs to ₹ 20.1 lakhs per year for 0 to 8 years of experience.
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Google
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₹ 24.6 lakhs
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Amazon
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₹ 23.5 lakhs
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Microsoft Corporation
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₹ 33 lakhs
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BCG
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₹ 18 lakhs
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Deloitte
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₹ 12.3 lakhs
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McKinsey & Company
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₹ 25 lakhs
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Ernst & Young
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₹ 19.5 lakhs
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Accenture
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₹ 11.2 lakhs
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IBM
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₹ 13.2 lakhs
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DXC Technology
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₹ 10.1 lakhs
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Walmart
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₹ 18.6 lakhs
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Cognizant
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₹ 18.1 lakhs
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Wipro
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₹ 9.5 lakhs
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JP Morgan Chase
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₹ 12 lakhs
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Verizon
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₹ 12.4 lakhs
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Top Startups for Data Engineers in India
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Databricks
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₹ 21.1 lakhs
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ThoughtSpot
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₹ 10.8 lakhs
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Fivetran
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₹ 21 lakhs
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Quantela
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₹ 9.3 lakhs
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Fractal Analytics
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₹ 19 lakhs
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Atlan
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₹ 19.8 lakhs
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AbsolutData
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₹ 11.1 lakhs
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SigTuple
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₹ 17.2 lakhs
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Latentview Analytics Corporation
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₹ 10.3 lakhs
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TheMathCompany
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₹ 11.3 lakhs
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Data Engineer Salary Based on Profile
The pay scale of a data engineer varies as per the candidate’s work profile. Although all data engineering jobs majorly deal with data collection, modeling and analysis to extract user patterns and information for businesses, some roles get paid differently than the others.
- Specialist data engineer who gather data, create data models and set up dashboards
- Offer advise based on patterns and trends found in data
- Train clients and management team on how to use data platforms
- Hold strong knowledge of tools like SQL, Power BI, and Tableau
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- Lowest: ₹ 12.0 Lakhs
- Average: ₹ 18.0 Lakhs
- Highest: ₹ 25.5 Lakhs
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- Build the foundational data structures that users depend on
- Design warehouse or big data lake that store all kinds and volumes of data
- Automate the process of data pipeline deployment
- Possess firm grasp over DevOps practices, data frameworks, software engineering, and distributed systems
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- Lowest: ₹ 3.6 Lakhs
- Average: ₹ 7.3 Lakhs
- Highest: ₹ 18.0 Lakhs
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- Use tools made by Data Warehouse Engineers to create structures that move data to different locations
- Develop data streaming pipelines that convert raw data into tables
- Combine external data sources with existing data platform safely and accurately
- Proficient in data modeling, Python/Scala/Java, and ETL/ELT
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- Lowest: ₹ 4.2 Lakhs
- Average: ₹ 9.5 Lakhs
- Highest: ₹ 23 Lakhs
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Data Engineer Salary Based on Skills
As they say, you cannot change the wind but you can change the sails. Similarly, you may have no control over the changing industrial trends, but you can update your skills to make a better professional standing. People who possess the knowledge of the hottest tools and technologies are usually offered better roles at a higher pay. Given below are some of the most profitable skills in data engineering.
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₹ 8,49,861
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₹ 8,56,294
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₹ 9,69,051
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₹ 9,07,922
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₹ 10,00,176
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₹ 8,70,222
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₹ 11,00,000
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Trending Skills for a Data Engineer 2023
- Statistical Visualization: Expertise in visualization software like Tableau can help you go a long way as it assists in presenting information with interactive dashboards, charts, graphs and data models. Learn how to create the perfect data visualization models with GeeksforGeeks’ complete Tableau Tutorial.
- Database Management: Understanding the core concepts of database management is crucial because a data engineer has to extract data from different sources, and hence databases. Knowledge of database management tools like MongoDB and Oracle are some of the most profitable skills in the market.
- Econometrics: Understanding econometrics, which is applying data models for predicting future trends, is gaining high traction for people looking for jobs in the FinTech sector. Besides, acquiring the skills provides an edge for other sectors as well because business aptitude is a prerequisite for organizational data analytics.
- Cloud Computing: Analyzing data stored in cloud platforms is one of the key tasks of a data engineer in many industries now. Google Cloud, Amazon Web Services (AWS) and Microsoft Azure are some of the cloud services used by companies all over the world.
- Machine Learning and Deep Learning: As a data engineer, you must want to know about machine learning and deep learning as these sub-branches of AI help build more accurate algorithms for big data. Developing these skills are not necessary for data engineering professionals, but can give a competitive edge when looking for jobs.
- Programming: It goes without saying but experience in Excel alone is not sufficient to boost your data engineering career. Proficiency in languages like Python and R allows you to conduct advanced data analysis. Most importantly, both languages are open source and almost all companies use them.
If you are struggling with how to develop the key skills for launching or boosting your career as a data engineer, sign up for the Complete Machine Learning & Data Science Program on GeeksForGeeks now!
Most Popular Career Paths for a Data Engineer
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₹ 7.1 Lakhs
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₹ 6.5 Lakhs
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₹ 7.5 Lakhs
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₹8.4 Lakhs
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₹ 8.0 Lakhs
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Top Industries For Data Engineers in India in 2023
Here are the top industries with high demand for data engineers.
- Retail & Ecommerce: A data engineer salary in retail & ecommerce firms ranges from ₹ 6.0 lakhs to ₹ 40.0 lakhs, with the average annual salary at ₹ 17 lakhs.
- BFSI: In the BFSI industry, the average annual data engineer salary is ₹ 15 lakhs. The lowest and highest recorded salaries range from ₹ 6.3 lakhs to ₹ 26.6 lakhs.
- Manufacturing: A data engineer salary in manufacturing companies lies between ₹ 5.0 lakhs to ₹ 30.0 lakhs, with the average annual salary being ₹ 12.4 lakhs.
- Healthcare: A data engineer in the healthcare sector earns from ₹ 5.2 lakhs to ₹ 24.0 lakhs, where the average annual salary is ₹ 13.7 lakhs
- Logistics: Average data engineer salary in the logistics domain in India ranges between ₹ 5 lakhs to ₹ 26.3 lakhs with an average annual salary of ₹ 12.1 lakhs.
- Business & Consulting: In this industry, the average annual data engineer salary is ₹ 12 lakhs. The lowest and highest recorded salaries range from ₹ 4 lakhs to ₹ 22 lakhs.
- Marketing & Advertising: Average data engineer salary in marketing & advertising agencies in India ranges between ₹ 4.2 lakhs to ₹ 25 lakhs with an average annual salary of ₹ 10.2 lakhs.
Data Engineer Salary in Other Countries in 2023
These are the top foreign countries for data engineer jobs with excellent career growth prospects.
- Average Pay: $1,15,481 per year
- Additional Pay: $12,699 – $23,704 per year
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- Average Pay: £58,045 per year
- Additional Pay: £2,770 – £13,031 per year
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- Average Pay: CA$1,01,455 per year
- Additional Pay: CA$4,903 – CA$16,024 per year
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- Average Pay: €70,000 per year
- Additional Pay: €2,000 – €8,000 per year
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- Average Pay: €62,292 per year
- Additional Pay: €5,093 – €9,447 per year
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- Average Pay: AED 43,000 per month
- Highest Pay: AED 1,20,000 per month
- Lowest Pay: AED 10,000 per month
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- Average Pay: SAR 96,790 per month
- Additional Pay: SAR 52,652 – SAR 1,76,622 per month
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- Average Pay: MYR 17,000 per month
- Additional Pay: MYR 1,050 – MYR 30,000 per month
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Conclusion
Data engineering can be one of the most rewarding career choices for you if you love playing around with information. But as the salary in this noble career is increasing, the competition is also soaring high. As per reports, the total job openings for data engineers in India will increase up to 2 lakh in the coming two years. If you want to become a successful data engineer, it is high time to buckle up and prepare for the professional journey of your dreams. Check out the Tips to Become a Data Engineer that actually work, and stay ahead of the job search game!
Data Engineer Salary in India – FAQs
1. Is Data Engineer a good career in 2023?
As we enter 2023, data engineering is one of the most important and lucrative career options. This industry will grow at an impressive CAGR of 17.60%.
2. What is the salary of Data Engineer in India for 3 years?
A data engineer’s salary is based on their experience and skills. A beginner data engineer can expect to earn an average annual salary of ₹3,30,000 per year. In India, an intermediate data engineer with 4-9 years of experience can expect to earn an annual salary of ₹13,20,000.
3. What is the starting salary of data engineer in India?
The Starting Salary of fresher as a Data Enginner in India was ranging between 3.5 Lakh – 4 Lakh per year. and The average In-Hand Salary will be approx 25,000 – 26,700 INR.
4. what is the highest salary for a data engineer in India?
The Highest Salary reported for a role data engineer in India is up to 98 Lakhs, as per various resources. These Salaries are typically offered by big-tech IT companies such as Google, Microsoft and BlackRock etc.
5. What are Top Paying Cities for Data Engineer in India?
Here is the list of top high paying cities of India that offer highest salaries to data engineer.
- Bengaluru
- Gurgaon
- Hyderabad
- Noida
- Chennai
6. What are the essential skills required to become a data engineer in India?
To become a data engineer in India, here are the essential skills that every aspirant should possess.
- Programming skills
- Data warehousing
- Data analysis
- Cloud computing
- Communication skills
- Problem-solving skills
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