The world is getting digital day by day. And Big Data is here to stay. The importance of big data analytics goes increasing in the near future. Big data analytics will be a fantastic career move.
Here are some top 8 career options.
1) Big Data Engineer
Salary of Data Engineer : range from Rs 345, 249 – Rs 1,747,926
Big data engineers create the platform and data structure. It is a person who manages a company’s big data infrastructure and tools. What items they buy, what is in their cart currently, and what is on their wish list. A Data Engineer needs to acquire knowledge of languages like Python, Java, Sequel, Hadoop, Spark, Ruby & C++. These are not mandatory and vary from company to company. Required skills are like
- Analytical skills
- Data visualization skills
- Problem-solving skills
- Skills of data mining
- Familiarity with big data tools and the Business domain.
How to become a Big data engineer:- Data engineer holds a bachelor’s degree or has an advanced degree in online business data analytics. And added more experience will enhance the skills.
2) Data Architect
Salary of Data Architect: Rs. 19,50,095 per year.
Data architect does the designing the structure of complex data frames, building and maintaining these databases. Data architects are senior visionaries. Their work to translate business requirements into technical requirements. Also provides a standard common business vocabulary, aligns with enterprise strategy and related business architecture. They have some responsibilities to do like
- Coordinating and collaborating with multiple departments, stakeholders, vendors.
- The organization generates data, which requires data to function with defining data.
- Defining reference architecture, which is a pattern that anyone can follow to create and improve data systems.
- Defining the data architecture framework, standards, and principles, including modeling, metadata, security, etc.
How to become a Data Architect:- There is no industry-standard certification or any training program for becoming a data architect.
3) Data Warehouse Manager
Salary of Data Warehouse Manager: Rs 12,00,000 per year.
They are responsible for the storage and analysis of data. They may be responsible for identifying and mitigating potential risks to data storage and transfer. The Data warehouse manager is responsible for evaluating data using metrics, analyzing data load, and monitoring job usage of data. Some responsibilities like
- Implementing operational policies and procedures.
- Ensuring the safety of staff.
- Ensuring safe use of warehouse equipment.
- Overseeing warehousing and distribution operations.
How to become a Data warehouse manager:- It requires a maximum of 5 years of experience in a related area, as an individual contributor. And it also required 1 to 3 years of supervisory experience.
4) Database Manager
Salary of Database Manager: Rs 8.4 lakh per year.
Database managers identify problems that occur in the database, take corrective action for solutions to those issues. Check data accessibility and troubleshoot problems with new systems as needed. This task performs by the Database manager. Required skills like
- Patience
- The logical approach to work
- Good organizational skills
- Communication skills.
5) Data Visualizer / BI Professional
Salary of Data Visualizer: Rs. 33,897 per year.
Data Visualizer / Business Intelligence Professional who’s responsible for creating weekly dashboards to inform the management. They talk about weekly sales of different products, the average delivery time, or the number of daily cancellations of orders. Data visualization tools provide a way to understand trends, outliers, and visual representations of large data sets. Skills of Data Visualizer
- Learn how to manage databases
- Understand the data’s audience
- Keep the visualization clean
- Choose the right visualization
Python is the best programming language for data visualization. Because of this, the Data visualizer should know the Python language.
6) Data Scientist
Salary of Data Scientist: Rs 7.0 lakhs per year.
They use the data that has been existing in the organization to design business-oriented machine learning models. It can go through the available data of the company to look at various buying patterns, identify similarities and users. They perform ad hoc analyses and create data products that make intelligent decisions by themselves. Data scientists who have the technical skills to solve complex problems. Skills required like
- Python coding
- Apache Spark
- Hadoop platform
- Data visualization
- Machine learning and AI
How to Become a Data Scientist:– First, Have to learn and be comfortable with the Python language. Learn data analysis, manipulation, and visualization.
7) Data Modeler
Salary of Data Modeler: Rs 36,595 per year
Data modelers turn large volumes of data into insights, like micro and macro trends. They are the designs that implement data architecture. Data modeling solutions include the use of relational, dimensional, and NoSQL databases. Skills required for
- Collect, update and store data
- Discovering, analyzing changes to how software systems.
- Create and maintain information.
How to become a Data modeler:- Data modelers require a bachelor’s degree in computer science, information science, or applied mathematics.
8) Data Analyst
Salary of Data Analyst: Rs 325,616 per year
Data analysts need to learn from the data that directly influences business decisions. Directly involved in day-to-day business operations and perform many ad hoc analyzes. To become a data analyst a good understanding of business data and statistics is essential. The tools and languages used by a Data analyst are Excel, Sequel, and Are. Essential skills required like
- Have to know the Structured Query Language
- Microsoft Excel
- R or Python statistical programming language
- Presentation skills
How to become Data Analyst:- Having a master’s degree in Data Science or Business analytics is very helpful. Have a bachelor’s degree or higher-level degree can be also useful.
Salaries differ from education, skills, and knowledge. Most of the data scientists that are 90 percent have an advanced degree. Only 80 percent have a bachelor’s degree and 44 percent have a master’s degree and 48 percent have a Ph.D. Learn more about Big data analytics today with Laqshya institute
- How do I get a job in big data analytics?
You will have to be familiar with the following languages: C, Python, Java, and SQL. If you want to be in statistics or analytics, you may need some other specialized skills but not coding. You may also be required to have completed course certification in Hadoop, Apache Spark, and machine learning.
- How do I get a job in big data?
Programming knowledge with basic java is considered. You have an interest in learning big data and have strong presentation skills with basic java knowledge will surely give you a job in big data.
- Is Data Analytics a good career?
Skilled data analysts are one of the professionals in the world. Demand for data analysts is more, but the supply of people who can truly do this job is so less. Being data analyst gives you great salary options even at the entry-level.
- What skills are needed for big data
Some top big data skills
- Analytical Skills
- Data Visualization Skills
- Familiarity with Business Domain and Big Data Tools
- Skills of Programming
- Problem Solving Skills
- SQL – Structured Query Language
- Skills of Data Mining
- Familiarity with Technologies
- Do data analysts code?
Some data analysts do use code in their daily life work but it’s typically not required. It requires only a basic understanding to help and normalize the company’s data.
- Is it hard to get a job as a data analyst?
It is actually viable to come to be a statistics analyst, even if you are beginning from scratch and have no enterprise experience. There are numerous elements that make the statistics activity marketplace especially handy for newcomers. The big and speedy boom of the statistics marketplace. The statistics capabilities gap.
- Can I become a data analyst without a degree?
Though it is almost possible to become a Data Scientist even without a degree. Data Analysts generally requires a bachelor’s degree in science, engineering, technology, or mathematics.
