CAREERS TO EXPLORE IN BIG DATA
2020 didn’t turn out to be the year we had all planned, as everyone knows. In the work of most companies, which suffered in countless ways, the pandemic threw a huge spanner and IT departments were compelled to take the brunt of it. However, they stood up pretty well in general. If something was proven by this global epidemic, it was that humans can be as effective working from home as they can be in the workplace. Initially, the promise of real-time actionable intelligence came from Big Data, but only now are these promises coming to fruition.
The experts also want to talk about the big data jobs available on the market, recognizing that big data is the big thing today. We’ll address why Big Data is a promising area to explore and thrive in this blog.
Big data has also become a striking career choice for today’s professionals with its enormous growth. Different positions have been opened up for big data experts by organizations from many fields. Every day, the need for big data experts increases and big data is here to stay.
Career to explore in Big Data are as follow:
1.BIG DATA ENGINEER
It is one of the big data occupations that is well established and challenging. In the big data world, it is the most popular position. The person in charge of designing and building data pipelines is referred to as a Big Data Engineer. They are the brains behind the data collected from different sources, and for analysts and data scientists, these are collections of structured data. Big Data Engineers are, and are, known to be in demand.
Salary: 100,000 dollars — 165,000 dollars
2. BIG DATA ANALYST
In order to find relevant information from the datasets, professionals must have analytical skills along with basic statistics and algorithm knowledge for this job position. As it is really important for data analysis, the Big Data Analyst also has domain awareness. The configuration, design, implementation, and support of the data analysis solution or BI tool is the responsibility of an analytics manager. In particular, they are expected to examine enormous amounts of information obtained via transactional operation.
SALARY: 83.910 dollars — 134.943 dollars
3.BUSINESS INTELLIGENCE ENGINEER
The expertise of the reporting systems used to query and control data warehouses is shared by BI Engineers. In order to solve complex problems, BI engineers have hands-on experience with big data.
They have skills in data processing and the experience of setting up, querying, and managing data warehouses for reporting tools. With big data, they are hands-on and have a data-driven approach to solving complex problems.
SALARY: 96.710 dollars — 138.5910 dollars
4. DATA SCIENTIST
Data scientists are one of the most sought-after individuals in the big data professions available who use analytical and technological expertise to obtain knowledge from big data. They transform knowledge that is structured and unstructured into concrete insights. To gain concrete insights from results, these individuals use their analytical and technological capabilities.
Salary: 65,000 dollars — 110,000 dollars
5.BUSINESS ANALYTICS SPECIALIST
A specialist in the business analysis includes providing an organization with analytical and technological help in the implementation of creative programs and solutions. A business analysis specialist’s key roles are to support various development projects, to assist in testing activities and in the development of test scripts, to undertake research to understand business issues
SALARY: 50,861 dollars — 94,209 dollars
The following image gives you a gist of how you can start your career in the field of big data.
6. MACHINE LEARNING SCIENTIST
Someone who researches new methods or even entirely new algorithms is a machine learning scientist. The machine learning engineer offers robust technological solutions while the scientist produces reports and whitepapers to the machine learning scientist. These positions are typically located in industrial research laboratories. They’re named researchers or research software engineers at Microsoft. They’re called Research Scientists or Research Engineers on Facebook.
They work in the area of algorithm research and development that is used in adaptive systems. They develop methods to predict product recommendations and demand forecasting and explore Big Data to extract trends automatically.
Salary: 78.857 dollars — 124.597 dollars
7. DATA VISUALIZATION DEVELOPER
Data visualization positions for developers, similar to data visualization engineers, include a bachelor’s or master’s degree in computer science, GIS, or a related area. In addition, developers are expected to have expertise in the development of the front-end web and technologies such as HTML5, ES6, Typescript, JavaScript, and CSS.
SALARY: $108,000 — $130,000
8. BI SOLUTION ARCHITECT
A business intelligence architect (BI architect) is a top-level category of business intelligence analyst that deals with particular aspects of business intelligence, a discipline that uses knowledge in certain ways to support a business or organization and constructs specific architectures. In general, the architect of business intelligence will be responsible for designing or working with these architectures, which serve the particular purpose of optimizing data asset capacity.
SALARY: 107,000 dollars — 162,000 dollars
9. MACHINE LEARNING ENGINEER
A recent study from Robert Half, Jobs and AI Anxiety indicates that the position of a machine learning engineer is about to become one of the hottest in the field of IT. In practical terms, the work of a machine learning engineer is similar to that of a data scientist. Both positions operate with large amounts of knowledge, require excellent data processing skills and the ability to perform complicated modeling on dynamic data sets. The final “output” of the machine learning engineer is the working software, and their “audience” for this output consists of other components of software that run independently with limited human supervision. Machines make decisions and they control how a product or service acts.
SALARY: 96.710 dollars — 138.5910 dollars
10. BUSINESS INTELLIGENCE SPECIALIST
BI Specialist is responsible for promoting business intelligence applications’ strategic architecture and high maintenance. Detects, examines, and solves technological problems. Being a BI Specialist guarantees that the use of business intelligence software enhances the ability to make business decisions. This role involves analytical thinking, attention to detail, and strong communication skills.
SALARY: 77.969 dollars — 128.337 dollars
Data Engineer requires skills to extract the data from a source efficiently, which may involve various approaches to data ingestion such as batch & real-time extraction. There are various other abilities that could make the ingestion of data more effective, such as incremental load, concurrent loading of the data, etc.
Data intake becomes more difficult when it comes to Big Data World when the volume of data continues to accelerate, and the data is often available in multiple formats. In order to collect and inject more data into the data lake, data engineers also need to know data mining & various data ingestion APIs.
A modern framework was born with the emergence of Big Data in the early 21st century. Well, that’s Hadoop! All thanks to Doug Cutting for implementing a system that not only distributes Big Data in a distributed way but also processes the information simultaneously. Start your career with online data science courses in big data learning or Artificial Intelligence and Machine Learning courses.
If you are a working professional in various fields, you can continue your career by choosing IBM Accredited Professional Courses or Professional Data Science Courses.
The following are a few Big Data certifications that you can do and have a successful career in big data.
Hope you liked this blog, and it was helpful t you. Happy Learning and keep reading!
