Technology

What Is Big Data Engineering | How to Become a Big Data Engineer?

Before starting any course you should know the complete details thus here is the topic of ‘WHAT IS BIG DATA ENGINEERING’ to know about the BIG DATA ENGINEERING course. Big Data Engineering is the practice of designing and constructing large-scale data collection, storage, and analysis systems.

Big Data Engineering requires the following skills: 

  • The candidate should be analytically strong. 
  • The candidate should have good data visualization skills. 
  • The candidate should have experience with Business Domain and Big Data Tools. 
  • The candidate should have good skills in programming.

Top Colleges in India to learn Big Data Engineering:

College Name Fees for Big Data Engineering Course 
Annamalai University (Tamil Nadu) 2,14,600 RS 
MIT School of Engineering (Pune) 8,41,300 RS 
SRM Institute of Science and Technology (Tamil Nadu) 10, 00,000 RS 
Presidency University (Karnataka) 10, 51,000 RS 

Note: The fees details given in the above table may change according to the location and University regulations. 

Some of the online websites for learning Big Data Engineering are as follows:

  1. UpGrad (https://www.upgrad.com/) 
  2. Udemy (https://www.udemy.com/) 
  3. Oxfordhomestudy (https://www.oxfordhomestudy.com/) 
  4. Class central (https://www.classcentral.com/) 
  5. Alison (https://www.alison.com/) 
  6. Asian college often teacher (https://www.asiancollegeofteachers.com/)

Normally a UG course in Big Data Engineering takes 3 years to complete. 

Some of the job sectors after doing Big Data Engineering are as follows:  

1. Big Data Engineer:

Big data engineers create, test, and support Big Data solutions for businesses. Their job is to collect large amounts of data from various sources and ensure that downstream users have quick and efficient access to the data. Big data engineers, in essence, ensure that the company’s data pipelines are scalable, secure, and capable of serving multiple users.  

The requirements to become a Big Data Engineer are as follows:

  • A bachelor’s degree in computer science or computer engineering.  
  • It is necessary to have prior experience as a big data engineer.  
  • Thorough understanding of Hadoop, Spark, and similar frameworks.  
  • Understanding of scripting languages such as Java, C++, Linux, Ruby, PHP, Python, and R.

The responsibilities of a Big Data Engineer are as follows:

  • Consultation with managers to determine the company’s Big Data requirements.  
  • Creating Hadoop systems.  
  • Using Hive or Pig to load disparate data sets and perform pre-processing services.  
  • Finalizing the system’s scope and delivering Big Data solutions  
  • Managing the communication between the internal system and the survey vendor.  

2. Data Architect:

Data architects develop structural and installation solutions for a company’s database. They collaborate with database administrators and analysts to ensure that company data is easily accessible. Creating database solutions, evaluating requirements, and preparing design reports are all part of the job.   

Requirements for a Data Architect:  

  • A bachelor’s degree in computer science, computer engineering, or a related field is required.  
  • At least 5 years of experience in a similar role.  
  • Comprehensive knowledge of database structure systems and data mining.  
  • Superior organizational and analytical skills.  
  • Excellent problem solver.  
  • Outstanding written and verbal communication skills.

Data Architect Responsibilities: 

  • Create and implement efficient database solutions and models for corporate data storage and retrieval. 
  • Evaluate client operations, applications, and programming to examine and identify database structural requirements.  
  • Examine database implementation procedures for compliance with internal and external regulations.
  • Install and organize information systems to ensure the smooth operation of the business.  
  • Write detailed database design and architecture reports for management and executive teams.

3. Data Security Analyst:

Data security analysts work to safeguard computer networks and systems against hackers and viruses. They typically work for specific companies, ensuring that antivirus software and other security programs are up to date and operational.   

Data Security Analyst Requirements: 

  • A bachelor’s degree in software engineering, computer science, information assurance, or a related field is generally required.  
  • The majority of employers prefer candidates with a master’s degree in business administration in information systems.

Data Security Analyst Responsibilities: 

  • Conducting security audits, risk assessments, and analysis.  
  • Making recommendations to improve the security of data systems.  
  • Investigation of attempted data security breaches and correction of security flaws.  
  • Development of security policies and procedures  

4. Database Manager:

Database administrators design and maintain databases for businesses. They design data storage and retrieval systems, troubleshoot database issues, and put database recovery and safety protocols in place. They also supervise the day-to-day operations of database teams.

The requirements to become a Database Manager are as follows:

  • A bachelor’s degree in information systems management (MIS), computer science, information systems, or information technology.  
  • At least two years of database management experience.  
  • Advanced understanding of Structured Query Language (SQL). 
  • In-depth knowledge of database technologies, architecture, and data security.  
  • Understanding of best database management practices.

Responsibilities of a Database Manager:

  • Improving the existing database architecture’s scalability and performance.  
  • Creating database structures and features based on organizational requirements.  
  • Hiring, managing, and mentoring database development teams  
  • Data protection through the development of data security and restoration policies, procedures, and controls.  
  • Performing diagnostic tests and assessing performance metrics

The following table shows the annual salaries for the above job profiles:  

Job Profile Salary per annum 
Big Data Engineer ₹7,76,882 
Data Architect ₹20,73,309 
Data Security Analyst ₹5,14,744 
Database Manager ₹15,53,456 

Note: The above salaries may change a bit according to the company and state you are working in.  

Check Also:

The above job profiles salaries in other countries are: 

Country Big Data Engineer Job Profile average salary per annum Data Architect Job Profile average salary per annum Data Security Analyst Job Profile average salary per annum Database Manager Job Profile average salary per annum 
United Kingdom £41105 £70,000 £70800 £41,010 
United States $89838 $143,574 $108065 $62,437 
Indonesia IDR 111000000 IDR 142,000,0000 IDR 140,000,000 IDR 145,000,000 
Switzerland CHF 112,724 CHF 126,000 CHF 128,000 CHF 123,237 
Australia $119,781 $140,000 $110,807 $90,779 

Conclusion:

In the above article, we have learned about various job profiles after doing the Big Data Engineering course and their salaries. We have also learned about top colleges in India providing Big Data Engineering course and their course fees. Big data engineers have a promising future in India. The reason for this is that the number of internet users is rapidly increasing.  

Big Data Engineering FAQs

  • What does a big data engineer earn? 

    In India, an entry-level Big Data Engineer can expect to earn around Rs. 466,265 per year. The average salary for an early-career Big Data Engineer or Junior Big Data Engineer (1–4 years of experience) is Rs. 722,721 per year. The annual salary of a mid-career Big Data Engineer or Lead Big Data Engineer (5–9 years of experience) is Rs. 1,264,555.  

  • Is it difficult to become a big data engineer?   

    Working as a data engineer can be both difficult and rewarding. However, breaking into this area of technology is not always easy. Data engineering is a broad term that encompasses a plethora of tools, buzzwords, and ambiguous roles.   

  • How do I go about becoming a big data engineer?

    Big data engineers must have a bachelor’s degree and, in most cases, a master’s degree in business data analytics online. The additional years of study are critical for learning the diverse technical skills required of a big data engineer.

  • Is data engineering a stressful job?  

    Data engineering can be a stressful job because there are so many tools and techniques to use. There are also deadlines and work pressures. Aside from that, the communication gap between data engineers and non-tech managers, as well as a lack of meaning and boredom, can all contribute to frustration. 

  • Do data engineers’ program?

    Coding is a valuable skill that is required for the vast majority of data engineering positions. Many employers prefer candidates who have a basic understanding of programming languages such as Python.

  • Is data engineering monotonous?  

    Most of the time, data engineering is not boring. A typical data engineering job can present numerous technical challenges, making it an exciting career for those who enjoy problem solving. However, depending on the organization, you may end up building the same data pipelines repeatedly.  

  • How can I become a big data engineer after finishing high school?

    If possible, take 10+2 with PCM and Statistics. Then you can pursue a BTech Data Science/ BSc Data Science degree from various colleges.

  • Is it better to be a data engineer or a data scientist?

    Simply put, the data scientist can only interpret data after it has been received in an appropriate format. It is the data engineer’s responsibility to get the data to the data scientist. As a result, data engineers are in higher demand than data scientists right now because tools cannot perform the tasks of a data engineer.  

  • Are Data Engineers able to work from home? 

    As a remote data engineer, you are responsible for gathering, storing, and organizing large amounts of data. You design, develop, and maintain data mining, warehousing, and processing systems from home. 

Surendra Gusain

Hi, I am Surendra Gusain founder-director of DOTNET Institute and a Professional IT Trainer, Digital Marketing Trainer, Youtuber and Blogger with 23 years of experience in computer training at DOTNET Institute.

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