15 Big Data Jobs in USA that are Trending in 2019

Every techie is aware of the term Big Data. The rampant growth in the size of big data has led the organizations to take necessary actions to manage their data world with new tools and technologies. New tools and technologies provide deep insights from the data sets, which help in better business decisions for any business. Big data jobs are trending in every industry, and the need for experienced big data professionals has raised in the past couple of years.

Considering big data as a career choice could be your next smart move. Big Data is getting more prominent, which leads software development to the next level. Big data technology offers different job roles for big data developers and big data engineers. With tremendous growth, big data has become a new career choice among all software engineers.

Reasons that make Big Data Jobs a new career choice:

Big Data is the hottest topic in the IT industry, offering some fantastic job profiles. Skillful employees are always in demand in a growing field like big data. Here are the reasons which provoke engineers to join the Big Data world.

Increasing demand for data engineers: In today’s scenario organizations are looking for skilled big data architects and engineers all over the world. There are plenty of job opportunities in the market. As there is a vast gap between the requirement and delivery of data engineers.

Wide range of job profiles: Big data is not a single technology; there are multiple technologies clubbed together to achieve the best results. Many job roles are available; one can become a data analyst, a big data architect or can work with the process of data integration.

Lucrative salary offers: In this dimension, the gap between demand and supply of big data experts play a vital role, as they’re not a sufficient number of big data engineers in the market which leads to high pay scales for any profile related to big data. Multinational Companies offer a competitive salary package to attract the best talent.

Here are 15 new job profiles which may lead you to a sparkling career ahead:

1. Data Analyst: A data analyst is supposed to be a problem solver, who spends their time analyzing data systems. They create automated systems to retrieve information from the database a creates custom reports after through data analysis. A data analyst must possess analytical skill with basic knowledge of statistics and algorithms.
2. Database Administrator: Database administrators have to deal with changes in the company database. They look after for a regular backup of the database to ensure that the database remains stable all the time. They have to ensure all the security checks for data lakes. If you enjoy a detail-oriented task, then database admin could be the thing for you.
3. Data Scientists: Data scientists have to collect and analyze raw data sets and explore user behaviors and patterns which help the higher management to take better business decisions. Data scientists must be a tech-savvy with expert business skills. Anyone who can think analytically and love the corporate part of a business can lookout for a career in data science.
4. Big Data Architects: Data architects are the only experts who understand the structure of a database from inside to outside. They are supposed to work closely with data engineers to achieve data workflows with optimum performance. It’s their responsibility to test and design new database prototypes as per business needs.
5. Database managers: Database managers play a vital role in the team; they are the one who leads tho database team and is responsible for companies entire database. They have to keep an eye over the company budget and workforce requirements. To be a database manager one must possess leadership and management skills.
6. Big Data Engineer: A big data engineer acts as a mediator between business executives and data scientists. They maintain clear communication so that data scientists can understand the companies goal and analyze data in a way that make sure to achieve the goals. Big data engineers also handle new data sets and explore new data sources for further research on datasets.
7. Machine Learning Engineer: Machine learning in an integral part of a big data environment. They are accountable to develop data analysis software which helps to run the components autonomously without any human interference.
8. Business Analyst: A business analyst has tasks that resemble tasks of a data analyst, but business analysts are experts of a particular domain. Most of the time they provide solutions to bridge the gap between business and IT. A business analyst plays a vital role to enhance the productivity of a business process.
9. Big Data Visualizer: A big data visualizer uses visualization software to guide analysis and ensures data integrity and completeness. They have to team up with clients and service teams to carry out data analysis.
10. Big Data Researcher: Responsibilities of a big data researcher include extraction of data from the relational database and explore the data with the help of different tools. They have to analyze data sets to generate insights for scalable software solutions.
11. Data warehouse Manager: A data warehouse manager has to develop and implement new information management strategies. It’s their responsibility to coordinate and manage all information management solutions. They have to deal with data sourcing, Data migration, and design & implementation.
12. Data Modeler: Data modeler works to achieve best practices for naming conventions, and they have to make sure that coding practices have consistency between different data models. They can suggest reuse of data models in a different environment if possible. They help in developing data models according to company standards. They also review the existing software to improve the efficiency and performance of the software system.
13. Portal Administrator: A portal administrator has to develop the basic portal layout and keep the system running all the time. They have to maintain valid documentation of the portal that may assist in the future installation of web center applications.
14. Data Mining Analyst: They are accountable to perform statistical analysis to prioritize which account must be worked at first to maximize the success rates. Their research identifies the area of improvements and performs a strategic data analysis to evaluate business needs.
15. Chief data analyst: A chief data analyst is the only person who performs as an overall research programmer. His responsibility is to provide technical input for the improvement of research projects. When needed they also conduct statistical analysis using advanced tools and techniques.

Future of Big Data jobs in USA:

With an outburst of individuals data in the data cloud, a new era of data technologies has lightened up. According to experts in the field of information and technology the size of big data keep on increasing. The main reason behind this sudden growth is the increasing number of handheld devices connected to the internet.

Soon, new technologies are going to discover, or the current one gets the latest updates for the analysis of data sets. SQL is still a standard tool used widely but Spark is another competitor in the market for analysis of datasets. New tools will emerge for in-depth analysis..

The increasing size of data may face challenges around the security of an individuals data. As cyber laws are getting strict day by day, companies need to become more aware of an individuals privacy. There must be massive growth in big data jobs in the coming years, and the big data talent might get much better opportunities.

Tips to find your dream gig in the field of Big Data:

The fast growth in big data technologies will definitely create numerous job opportunities for people in the technical field. According to experts, in the next couple of years, the IT industry may offer 1.5 million big data jobs in USA. Here are a few tips that might be helpful to catch your dream gig.

1. Don’t get confused with job titles; There is no standard definition of job titles in the big data world. Don’t restrict your self to a single title. One can learn and upgrade as per the requirement of the project.
2. Build a robust skill set, try to understand the basics of a database and learn how to manage a large amount of data. Knowledge of programming languages like python, java, c or Scala would be helpful. Basic knowledge of Mathematical skills, statics, and linear algebra would be an addon.
3. It would be great to have a case study of your project and show it to the management which may give you an edge over other contenders.
4. Show off your skills whether it’s related to technology or you have any other skillset which can add value to your resume. It could be the positive side to show off your best qualities.
5. Read as much as you can, keep an eye over the latest blogs and articles related to big data technologies. Keep your self updated with current technology trends in big data space.
6. Decide your career path carefully; big data offers many job profiles to choose a work profile which matches your skillset. Define what you want and narrow down your job search accordingly.
7. Take the help of niche job market place which offers tech jobs. CrediBLL is a significant player in this field offering best paid big data jobs in USA from top employers of the nation.