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.  

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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.  

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