Big data has been transformational for businesses and a driving force for growth all over the world. This has increased the demand for qualified professionals in top companies for emerging big data roles. At the same time, there is a shortage of professionals with such specialized skills. This means that if you have the right expertise, you can land big data jobs with good pay.  

With the increasing demand for skilled professionals, the salaries for these jobs are increasing as well. There is a competition in the market for landing the best talents, which is why a lot of these have considerably high compensation. So, if you think you have what it takes to make it big in the big data world, the career opportunities are immense.  

The tricky aspect of big data jobs is that it usually requires candidates with advanced degrees as well as experience. That is not easy to find, given how fast the field is growing. A vast majority of job postings for data analytics seek candidates who have at least 3 years of work experience. In particular, the highest-paying job roles require candidates to have a relevant master's degree as well.  

There are different roles and positions for big data experts. If you want to advance your career in the field, you should consider Big Data Analytics training. The right training not only improves your knowledge of the subject but also opens new avenues for your career. There are some coveted positions you can land with the right training under your belt.  

Big Data Engineer 

The role of big data engineers is similar to that of data analysts in the fact that they gain insights from large volumes of data which can be used by the organization to make smart business decisions. On top of that, big data engineers have the task of retrieving, analyzing, interpreting, and reporting on data of a business. This data needs to be gathered from various sources. These professionals have the responsibility of maintaining and creating the hardware and software architecture of a company, such as the processes and systems users need for working with that data. 

Data Architect 

The responsibility of these professionals is to identify structural and installation solutions as well as to build and maintain these databases. They develop strategies for all subject areas of the data models. They also need to communicate status, issues, and plans to the management of the company.  

Data Warehouse manager 

These professionals are tasked with storing and analyzing data in facilities. Data warehouse managers use usage and performance metrics for evaluating data, analyzing data load, and monitoring job usage. They may also have the responsibility to identify and mitigate potential risks to data transfer and storage.  

Database manager 

They identify problems occurring in databases and find solutions to those issues. They also create the design of storage hardware and its implementation and maintenance. Their job requires them to work closely with database developers and guide and train lower-level staff. 

Business Intelligence Analyst 

The role of these professionals is to turn the data of companies into insights that can be used by executives for making better business decisions. The management requests them for specific information and they respond accordingly. They might also independently scrutinize data for finding trends and patterns. A business intelligence analyst is required to have a strong background in reporting and analytical tools, data cube technology skills, a good amount of experience with stored procedure and database queries writing, and OLAP (online analytical processing). 

Data Scientist 

A data scientist constructs and designs new processes to model, produce, and mine data. They conduct product experiments and data analysis and additionally also develop prototypes, predictive models, custom analysis, and algorithms. They should have prior experience in similar positions. They also need to be skilled in various data mining techniques like regression analysis, decision trees, and clustering.  

Data Modeler 

A data modeler turns a huge amount of data into insights like macro and micro trends. These are then gathered by businesses into reports. They need to be skilled in statistical analysis as well as information science and be proficient in programming. It is common for data modelers to specialize in a specific business area, making it easier for them to find useful data trends for their employers.  

Database developer 

They study the process of current databases for modernizing, streamlining, or eliminating inefficient coding. Database developers are tasked with developing new databases, monitoring database performance, and troubleshooting problems. They work closely with the development team. Database developer jobs usually require prior experience with data analysis, database development, and unit testing.  

Database administrator 

A database administrator helps avoid any damage due to high traffic and constant access by optimizing and monitoring database performance. They also ensure data security by coordinating with IT security professionals. These professionals are required to have previous work experience in database administration.  

Data Analyst 

A data analyst has to work with huge amounts of data and turn them into insights for businesses to leverage for making informed decisions. They work across various industries like finance, healthcare, technology, and retail. They help in improving systems to make it easier to relay future insights. Their objective is developing methods for analyzing large data sets that can be scaled and reproduced easily.  

How to break into big data? 

The field of big data is rapidly growing with exciting opportunities across various industries all over the world. Skilled professionals in this field are continuing to be in huge demand. As such, now is the right time to enter the job market.  

If you want to make a career for yourself in big data, you can take several steps to prepare and land yourself one of the sought-after jobs in the field. Two of the most important factors you need to focus on are experience and skills. Since big data careers require highly technical skills, you will need advanced training and hands-on learning to develop the required skills.