Roadmap To Become A Big Data And Analytics Engineer

Hello guys, welcome back to my blog. In this article, I will discuss the roadmap to become a big data and analytics engineer, what are the responsibilities to become a big data and analytics engineer, the companies that are hiring, and a lot more things I will discuss.

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Roadmap To Become A Big Data And Analytics Engineer

The main motivation to become a big data and analytics engineer is the data that is growing rapidly. Big data and analytics engineers are required in every organization to analyze their customer’s data and take necessary actions for business growth. This is a digital world and daily lots of data is produced through various platforms such as social media, feedbacks, sales, etc so to manage and analyze these unstructured data, an engineer is required.

Topics that I cover

In India, there are 12,612 jobs on big data and analytics as per LinkedIn record.

1. Desirable skills
2. Which branch students can become a big data and analytics engineer
3. Responsibilities
4. How to start a career
5. How to develop a skills
6. Projects on big data and analytics
7. Job roles offered
8. Companies that are hiring for big data and analytics

01. Desirable skills

The desirable skills required to become a big data and analytics engineer are excellent communication skills to understand and share your thoughts, patience to solve problems, ability to learn new technology, good IQ, and EQ.

02. Which branch students can become a big data and analytics engineer

If you really want to go in this domain, better choose the computer science engineering branch because in this branch you will learn DBMS, data structures and algorithms, python programming, machine learning, and data science subjects. These subjects are very important to learn for big data and analytics engineers.

03. Responsibilities

The responsibilities of big data and analytics engineer, “Big Data” is data whose scale, variety, and complexity need new architecture, techniques, algorithms, and analytics to achieve it and extract value and hidden information from it. It includes the management of the complete data lifecycle including collecting, cleaning, planning, storing, examining, and governing data.

04. How to start a career

First, you select the computer science engineer branch in engineering or you can also go for BCA, MCA to become a data analyst. Then learn subjects properly such as DBMS (Database Management System), data structures and algorithms, python language, R language, SQL, distributed network, machine learning, AI, Hadoop framework, etc these subjects will help you while preparing big data and analytics.

Other branch students can also go in this domain but if you are from another branch, you need to take a course on big data for at least 6 months to learn everything properly.

05. Technical Skills

The technical skills required are:

1. Good at Machine Learning and Artificial Intelligence
2. SQL (Structured Query Language)
3. Apache Hadoop (Map Reduce)
4. Data Visualization
5. Excellent knowledge in a database such as MySQL, and PostgreSQL
6. Spark
7. You need to strong in mathematics such as algebra, statistics, combinations, etc

06. How to develop a skills

There are many ways that you can develop skills, such as:

1. You do internships on data science.
2. Freelancing is also best option, you can earn money and you will also learn many things by doing freelancing on data science.
3. Select your major project that is related to big data and analytics in engineering.
4. You can also develop skills by enrolling online courses and webinars.

07. Projects on big data and analytics

The projects that you can select as your mini, major, or capstone project related to this domain are:

1. Descriptive analytics of last year’s customer data.
2. Color detection using python.
3. Reading customer’s behavior.
4. Plagiarism checker for online exam.
5. Dress selection for people based on their personality.
6. Tracking website traffic and analyzing by applying visualization technics.

08. Job roles offered

The various jobs roles offered are:

1. Descriptive data analytics
2. Predictive data analytics
3. Diagnostics data analytics
4. Prescriptive data analytics
5. Technical Support
6. Staff data engineer
7. Business data analyst

09. Companies that are hiring for big data and analytics

The companies that are hiring for a big data and analytics engineers, such as:

• Amazon
• Facebook
• Instagram
• Google
• YouTube
• Infosys
• Wipro
• Accenture
• SLK Software
• TCS
• Benz
• Tesla

and many companies are there in the market they are hiring specially for data engineers to analyze their customers and increase their business or organization.

I hope this article “Roadmap To Become A Big Data And Analytics Engineer” may help you all a lot. Thank you for reading.

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