Data Engineer Salary in India during 2023

Salary details

The average Data Engineer salary lies between USD 18,000 and USD 82,900 in India. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Oct. 28, 2024

Salary trend

Top 20 Job Tags for Data Engineer roles

The three most common job tag items assiciated with Data Engineer job listings are Python, Engineering and SQL. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Python | 5352 jobs Engineering | 5125 jobs SQL | 5036 jobs Pipelines | 4382 jobs AWS | 3582 jobs Spark | 3309 jobs ETL | 3273 jobs Architecture | 3229 jobs Data pipelines | 3202 jobs Computer Science | 2748 jobs Big Data | 2603 jobs Agile | 2547 jobs Azure | 2406 jobs Java | 2258 jobs Machine Learning | 2077 jobs GCP | 1967 jobs Airflow | 1937 jobs Security | 1845 jobs Scala | 1799 jobs Kafka | 1784 jobs

Top 20 Job Perks/Benefits for Data Engineer roles

The three most common job benefits and perks assiciated with Data Engineer job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 4076 jobs Health care | 2146 jobs Flex hours | 2037 jobs Startup environment | 1894 jobs Team events | 1476 jobs Flex vacation | 1326 jobs Competitive pay | 1293 jobs Equity / stock options | 1110 jobs Parental leave | 1062 jobs Salary bonus | 1046 jobs Insurance | 997 jobs Medical leave | 711 jobs Wellness | 645 jobs 401(k) matching | 508 jobs Home office stipend | 375 jobs Fitness / gym | 286 jobs Gear | 275 jobs Unlimited paid time off | 265 jobs Conferences | 199 jobs Relocation support | 148 jobs

Salary Composition for Data Engineers in India

The salary for a Data Engineer in India typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the total salary. Additional remuneration, such as stock options, health benefits, and retirement contributions, can make up the remaining 5-10%.

In larger tech companies or multinational corporations, stock options and bonuses might be more substantial, whereas smaller companies or startups might offer more in terms of equity rather than cash bonuses. The industry also plays a role; for instance, data engineers in finance or healthcare might receive higher bonuses compared to those in other sectors.

Steps to Increase Salary

To increase your salary as a Data Engineer, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in emerging technologies like cloud computing, big data tools, and machine learning frameworks. Proficiency in platforms like AWS, Azure, or Google Cloud can be particularly valuable.

• Advanced Education: Pursuing a master's degree or specialized courses in data science or related fields can make you more competitive and open up higher-paying opportunities.

• Networking and Professional Development: Attend industry conferences, join professional organizations, and engage in networking to learn about new opportunities and trends.

• Job Hopping: Sometimes, moving to a new company can result in a significant salary increase, especially if you have gained valuable experience and skills.

• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during performance reviews or when receiving job offers.

Educational Requirements

Most Data Engineer positions require at least a bachelor's degree in computer science, information technology, engineering, or a related field. A strong foundation in mathematics and statistics is also beneficial. Some employers may prefer candidates with a master's degree, especially for more senior roles.

Helpful Certifications

Certifications can enhance your resume and demonstrate your expertise. Some valuable certifications for Data Engineers include:

• AWS Certified Data Analytics – Specialty
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Engineer Associate
• Cloudera Certified Professional (CCP) Data Engineer

These certifications validate your skills in handling data engineering tasks on specific platforms and can make you more attractive to potential employers.

Experience Requirements

Typically, entry-level Data Engineer positions require 1-3 years of experience in data-related roles. This experience can include internships, co-op programs, or previous positions in data analysis, software development, or IT. For mid-level roles, 3-5 years of experience is often expected, while senior positions may require 5-10 years of experience, including leadership or project management responsibilities.

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