big data engineer respon salary blog design ver1

Big Data Engineer Salary – How Much Can You Expect As A Big Data Engineer in 2020?

Big Data Engineer is one of the most top job roles in the Industry and the compensation of a Big Data Engineer is astounding. The tricky part here is the different factors that are engaged with deciding the salary. The whole task of Data Mining, keeping up, and separating patterns from various data collections in an organization is finished by a group of Data Engineers. Eventually, the Data Engineers give a dependable framework to keep up with big data. In this Big Data Engineer Salary blog, we will sort out the determinants for a Big Data Engineer, including the details of the pay for a Big Data Engineer.

What is a Big Data Engineer?

The term Big Data doesn’t mean more information. It refers to information focuses that accumulates at a much greater rate than typical programming can manage. The division of big data isn’t carefully characterized – however a lot of information include:

-1,000,000 sales exchanges by an online retailer -1,000,000 facilitated calls by a broadcast communications provider -A sensor that produces 50 megabytes of information every two nanoseconds.

Thus in the event that you work with as well as manage Big Data, you might be referred to as a Big Data Engineer. Because of the expanded complexity nature of big data, the designer needs to get familiar with different Big Data systems and NoSQL databases.

How to Become a Big Data Engineer?

Big data engineer jobs are profoundly searched after, and big data engineers have long years of experience and broad specialized knowledge. On the off chance that you intend to be a major big data engineer, you should have a Bachelor’s qualification in software engineering, programming designing, science, or an alternate IT degree. Close by the degree, a major big data engineer needs to have a scope of specialized skills and knowledge to guarantee that they can be fruitful in their job. Thus, from SQL, Python, and an assortment of cloud stages, the correct information can enable a seeking big data engineer to succeed.

When your degree is accomplished, there are various certifications that you can win to proceed with your education. Before you can apply for the privilege of enormous big data engineer occupations, information on the Data Science Council of America is an absolute necessity, as it can permit you to acquire the right affirmations to prevail in the job. There are a lot of ways you can construct your big data engineer skills, and it begins with knowing which abilities to sharpen.

Responsibilities of a Big Data Engineer

As a Big Data Engineer, you are answerable for the management of information. This incorporates using accessible data and advances to make a data landscape for data scientists.

Your insight isn’t just restricted to the data accessible in the organization and its stockpiling areas, however, you are additionally answerable for data incorporation into the central analysis framework, and figuring out which advancements are appropriate for this.

Crafted by a Data Engineer starts with understanding the specialized prerequisites. They at that point move to plan and build up a hearty and adaptable big data framework. They are liable for gathering, putting away, handling, and examining the information frameworks. A Big Data Engineer is viewed as a master of information flexibly. They make fundamental data effectively available over the organization and usable in different divisions.

Big Data Responsibilities:

–Assemble and process raw information at scale. -Plan and create data applications utilizing chosen tools and frameworks. -Peruse, extract, change, stage, and burden information to choose devices and frameworks as required and mentioned. -Perform tasks, for example, composing contents, web scratching, calling APIs, compose SQL questions, and so on. -Work intimately with the designing team to coordinate your work into our creation frameworks. -Process unstructured information into a structure reasonable for analysis. -Investigate the handled data. -Support business choices with specially appointed analysis as needed. -Observing data execution and altering framework varying. -Characterize data maintenance approaches.

Skills needed to be a Big Data Engineer

-Active project management and hierarchical skills. -Solid analytic abilities to deal with and work with enormous, unstructured datasets. -Solid programming flair in trending languages, including Python, Java, C++, Scala, Ruby, and so on. -Progressed working information on SQL, alongside involvement in working with relational data sets. -Capability in working with a wide assortment of databases. -Involvement with building and advancing Big Data pipelines and designs. -Involvement with root cause analysis on inside/outside information and processes to discover answers for specific business issues and recognize improvement opportunities. -Involvement in working with Big Data platforms like Hadoop, Spark, Kafka, Flume, Pig, Hive, and so on. -Involvement with taking care of data pipeline and workflow management tools like Azkaban, Luigi, Airflow, and so on. -Involvement with taking care of stream-handling frameworks, for example, Storm and Spark-Streaming.

Big Data Engineer Salary

As per Glassdoor, the normal Data Engineer compensation in India is Rs.8,56,643 LPA. Obviously, the Data Engineer compensation relies upon a few components, including organization size and reputation, geographical area, education capabilities, job position, and work insight. Reputed organizations and large parts in the Big Data industry like Amazon, Airbnb, Spotify, Netflix, IBM, Accenture, Deloitte, and Capgemini, to give some examples, typically pay high remuneration to Data Engineers. Additionally, the more your previous work involvement with Big Data, the higher will be your fairly estimated worth.

Because of the deficiency of satisfactory ability in the field, organizations are prepared to pay colossal compensation to freshers and mid-level Data Engineers too. Passing by PayScale details, a section-level Data Engineer with under 1-year experience can gain a normal yearly compensation of Rs.4,00,676 LPA.

Concerning Data Engineers in their initial career like 1-4 years of experience, they make anywhere around Rs.7,37,257 LPA. As they continue to mid-level with 5-9 years of experience, the pay of a Data Engineer becomes Rs.1,218,983 LPA.

Big data Engineers having more than 15 years of work experience can make more than Rs.1,579,282 LPA


Given the consistent rise in data analytics and Big Data occupations in India and abroad, it is a fantastic chance to consider turning into a Big Data Engineer. There is a lot of occupation scope in the Data Science area, and it is set to increment further later on.

On the off chance that you need to get into the data domain, look at N-SCHOOL Academy, and upgrade your knowledge in the Big Data course. Become a specialist in Big Data with practical hands-on workshops and a lot more.