Looking to start your career as an IT professional or want to survive the ongoing layoffs in the industry? If yes, then you have finally landed on the right page. This blog of big data career path will help you to safeguard your whole career.
IT industry is a highly competitive industry and to thrive into your careers you need to keep upgrading regularly. And Big Data will provide you the much-needed upthrust and will be there for you throughout your IT career.
Getting into a big data career these days is like doing life insurance of your career. Being a Big Data professional these days is like being a part of the most elite group of professionals in the IT industry.
If you are a well qualified Big Data professional then you won’t have to seek jobs anymore in fact companies will be looking out for you.
So do you want to be a Big Data professional & become a part of an elite group of IT professionals?
Here’s the big data career path you need to follow to land your first Big Data job-
Big Data Career Path
Below are the steps or I can say the answer to the question, how to get into Big Data Career –
1. Starting with the basics
Every new journey begins with the first step. You cannot simply move onto the last step directly. The same is the case when you start learning something new. Learning the basics is the first step in this Big Data career path.
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To build a strong building it is necessary to have a strong foundation. To start your journey into the Big Data world, you need to have a clear understanding of its basics concepts.
Before moving ahead with Big Data, you must have answers to all the “whats” and “whys” of Big Data. These include topics like what is Hadoop, its features, the ecosystem, Apache Spark, etc. .
2. Job roles and skills
The most important thing you need to decide when you start learning Big Data is the job role you want to aim for.
There are a number of job roles available in the Big Data world and you have to figure out the best role for you and if you are a good fit for that or not.
There are multiple roles in Big Data you can choose from –
2.1 Hadoop Developer
NOTE: You won’t be a web developer but you would be a data developer.
Roles & Responsibilities
- Developing MapReduce Jobs.
- Collection of the data using Flume, Sqoop, etc.
- Pre-process the raw data & generate insights from unstructured data
- Designing a solution architecture.
- Handling the Hadoop jobs using a scheduler.
- Overall cluster management.
Skills
- Good knowledge of Data Structures.
- capability to write MapReduce jobs.
- Well acquainted with one of the back-end programming languages such as Java, Python, Scala
- Proven knowledge of writing Pig Latin scripts and HiveQL.
- Knowledge of data loading tools like Flume, Sqoop.
- Analytical and problem-solving skills.
Experience Required: 0-5 Years
Average Salary: ₹12,75,000 PA
Roles & Responsibilities
- Installation & configuration of Hadoop cluster
- Maintenance & monitoring of Hadoop clusters.
- HDFS support and maintenance.
- Keeping track of connectivity and security issues.
- Setting up the new Hadoop users.
- Governing the File System.
Skills
- Expertise in Linux commands.
- Clear understanding Unix based File System.
- Sound knowledge of Hadoop config parameters.
- Expertise in troubleshooting and server handling
Experience Required: 0-5 Years
Average Salary: ₹7,89,000 PA
2.3 Hadoop Architect
Roles & Responsibilities
- Managing the end-to-end lifecycle of big data projects.
- Overall deployment management.
- Carrying out the necessary requirement analysis.
- Designing the overall architecture of the Hadoop system.
- Design & develop end-to-end dataflow
- Choose components based on requirements
Skills
- Sound knowledge of the Hadoop architecture.
- A clear understanding of MapReduce, Hbase, Pig, Hive, and Java.
- Familiar with different Hadoop distributed platforms.
- Expertise in modularizing the project and solve real-world problems
Experience Required: 8+ Years
Average Salary: ₹22,73,000 PA
2.4 Hadoop Tester
Roles & Responsibilities
- Writing various test cases.
- Performing troubleshooting and then finding and reporting the bugs and performance issues.
- Examining that the MapReduce jobs are running properly at peak performance.
- Testing the robustness of Hadoop/Pig/Hive components.
Skills
- Knowledge of MRUnit, and JUnit testing frameworks.
- Good knowledge of Java to do MapReduce testing.
- Proficiency in Pig and Hive.
Experience Required: 0-5 Years
Average Salary: ₹4,80,000 PA
2.5 Data Scientist
Roles & Responsibilities
- Carrying out the complete analysis of Data.
- Helping in making data-driven decisions.
- Designing data modeling architecture.
Skills
- Expertise in any of the programming languages such as python, R, SAS, etc.
- Hands-on experience of various Machine Learning tools.
- Familiar with data visualization and reporting.
- Knowledge of Data Mining.
Experience Required: 8+ Years
Average Salary: ₹27,23,000 PA
3. Programming Languages
To start your Big Data journey, you must be well acquainted with at least a couple of programming languages. These languages are mandatory to learn or else you won’t be able to go through your journey of Big Data.
Here are the two most important programming languages you must learn in order to start a career in Big Data.
3.1 Python
Python is the most demanding programming language on the planet right now and is a must-learn language to build a career in Big Data.
Python is considered the easiest programming language of the world because of its simple and easy to understand syntax. You can learn python quickly.
Getting familiar with the basic concepts of Python is all you need to have a career in Big Data.
3.2 Java
The oldest and one of the best Big Data tools, Hadoop is written in Java. Thus knowledge of Java basics is essential to learn Hadoop.
Especially for the role of “Big Data Developer”, Java is the most important language you must know about. Any OOP language is mandatory for learning Big Data and Java is the best choice of all.
4. Plan Your Work
“A goal without a plan is just a wish.”
So, next step in big data career path is to plan your work. Getting into big data career is not an easy task. It’s a long journey and requires patience and determination to accomplish it.
But if you plan the journey well and work accordingly, then there’s nothing that can stop you from landing your dream job of Big Data.
Planning the work every day and then executing it on time with some practical tasks is the best way of going forward with Big Data. Completing these tasks daily on time will ensure a smooth journey throughout.
“Plan your execution, execute your plan.”
5. Certification Course
The most important step of this big data career path is the certification course. Acquiring theoretical knowledge won’t be enough to get a Big Data job. This won’t make you ready for working in the industry.
What you learn theoretically is not as easy as it looks when you start working in the industry. You need to have some sort of certification done and also have to implement a few projects to seek the attention of the interviewer.
Projects are something that attracts the maximum attention of the interviewer. Also, many times during your Big Data journey, you will face difficulties that are hard enough for you to solve and this might lead to frustration and can make you demotivated at times.
And in the midst of all those difficulties, you will surely wish that you had someone who can guide you and help you in all such difficulties. Someone on whom you can rely on.
You never really thought of all these things, did you?
Relax. DataFlair is always here for you. We are always here to help you out.
This training course is an answer to all your doubts and worries and guarantees to make you ready for working in the industry.
Why DataFlair Course
Now you will probably be thinking about how would this big data course ensure this. So here’s everything that you need to know about this amazing course from DataFlair –
- It is one of the best certification courses for Hadoop that offers you knowledge in half of the rates.
- It has got 70+ hours of Instructor-led sessions.
- To make every concept clear to you, it provides 200+ hours of practicals and assignments.
- To ensure that you get into the big data career and be ready to work in the industry it has got 10 real-time Hadoop and Spark projects to groom you according to the industry norms.
- Industry renowned Hadoop and Spark Certification.
- Additionally, it offers lifetime access to the course you have enrolled for.
- A course that provides 100% job assistance.
- An interactive discussion forum for all your queries.
- Personalized career counseling with the trainer.
- Mock Interviews and Resume Building to make you prepared for the interviews.
Summary
So, are you willing to make a career in the Big Data world? If yes, then I guarantee you that it would be the smartest choice you would ever make all your life.
To have a career in Big Data these days is like having a dream career and don’t worry Big Data will survive throughout your career. Because –
“Big Data is not just a technology, it’s a paradigm shift”
Does this big data career path help you? Do share your feedback through comments.