7 Most Popular Big Data Jobs

7 Most Popular Big Data Jobs

Businesses from all sectors have begun to gather, organize, store, and analyze enormous volumes of operational data. In a poll by NewVantage Partners, 91.6% of CEOs said they were expanding their investments in big data. Ninety-one point seven percent of respondents claimed that they were making these expenditures in order to grow their business and become more competitive and nimble.

Good news for individuals looking for work in one of the big data economy’s fastest-growing industries!

Positions in the World of Big Data

Due to the growing adoption of new big data applications, the need for labor has exploded recently. The country and large urban regions both suffer from a serious shortage of data scientists, according to the LinkedIn 2018 Workforce Report. According to the research, there is a lack of 151,717 data science professionals nationwide, with significant shortages in New York City (34,032 individuals), the San Francisco Bay Area (31,798 people), and Los Angeles (12,251 people).

Top 7 Big Data Jobs

  1. Data Scientist

Highly qualified IT data scientists that can mine and analyze complicated data sets for businesses are in great demand, according to PayScale. They collect and create statistical data models in collaboration with multidisciplinary IT groups to be used in developing system-related suggestions and action plans.

Preferred Qualifications – For IT data scientists, proficiency in data mining techniques including clustering, regression analysis, decision trees, and support vector machines is crucial. A Master’s or Doctorate in computer science is often required for this kind of post, along with several years of related professional experience.

Income: According to Glassdoor, the greatest job in America is data scientist, with an average salary of $108k. The high grade is primarily due to the respondents’ high levels of work satisfaction (average score of 4.3 out of 5).

  1. Data Engineer

Data engineers’ main responsibilities, according to PayScale, are gathering, analyzing, and manipulating large data sets using their knowledge of computer science and engineering. The construction and conversion of computer algorithms into prototype code, the development of technical procedures to improve data accessibility, and the creation of reports, dashboards, and tools for end users are among the most frequent tasks.

preferred credentials – A bachelor’s degree in computer science, engineering, or a closely related discipline is often required of data engineers. Additionally preferred are applicants with three to five years of relevant job experience. It is preferable to have knowledge of programming languages like Java, Python, Kafka, Hive, and Storm as well as SQL database architecture. Strong soft skills include the capacity for both written and verbal communication as well as the capacity for autonomous and collaborative work.

Compensation: According to Glassdoor, the average salary for a data engineer is $106,000 per year, and they have a work satisfaction rating of 3.9 out of 5 stars, ranking them eighth among the top 50 careers in the US.

  1. Data Analyst

According to PayScale, data analysts design and carry out extensive surveys on a variety of subjects in order to gather meaningful information. Participants are located, data is collected and analyzed, and conclusions are presented using graphs, reports, and other visual tools.

Preferred Qualifications – Excel, SQL databases, and SharePoint are just a few of the software programs that data analysts should be knowledgeable in. Additionally, data analysts must be good presenters and communicators who can demystify complicated data for the benefit of the company’s decision-makers.

Salary: Data analysts, who earn an average salary of $60,000 a year and have a job satisfaction rating of 3.9, are ranked number 31 on the list of the 50 best jobs in America.

  1. Security Engineer

The prevention, detection, and remediation of IT security events require the expertise of security engineers. They lessen the risks to the business by building firewalls, keeping an eye out for and responding to intrusions, and identifying and pinpointing the root cause of security problems in the system using forensic techniques. They also establish and implement multi-layered security measures for online systems, as well as test strategies for software and hardware upgrades.

Preferred Qualifications – You should have a bachelor’s degree in engineering, computer science, or a closely related discipline, as well as many years of relevant experience and, ideally, security certifications in your industry, to be considered for this role. More than simply the ins and outs of programming languages and operating systems are required of security engineers. They must also be able to work independently and use logic and maths to tackle complicated challenges.

Salary: Security engineers are ranked number 17 on the list of the 50 Best Jobs in America, earning an average salary of $102,000 year and receiving a 3.8 out of 5 for job satisfaction.

  1. Database Manager

Database managers have significant training and expertise in project management and multitasking, and they are specialists in troubleshooting and fixing complicated databases. They study data consumption and demands from organizations, aid in building and deploying storage gear, and evaluate data sources to improve data feeds.

Preferred Qualifications – According to job advertisements, database managers should possess a bachelor’s degree in information technology and at least five years of experience in a database leadership position. Candidates for database administration roles should be well-versed in MySQL and Oracle, among other technologies.

Salary: The median pay for database managers, according to Glassdoor, was $73,545 per year.

  1. Data Architect

Data architects utilize their skills in data-oriented programming languages to build data architecture strategies for each domain of the company data model in order to manage and preserve information contained in relational databases and corporate repositories.

Preferred Qualifications – Due to the increased demand for data architects, many employers are searching for applicants with a certain skill set and unique traits, such as sharp analytical capabilities, innovative problem-solving and visualization abilities, and an attention to detail. The typical entry-level requirement for the industry is an associate’s degree, while the majority of data architects have bachelor’s degrees or higher in computer science-related subjects.

Income: According to PayScale, the average salary for a data architect was $113,078 in 2015. This placed them among the top earners in the big data sector.

  1. Technical Recruiter

Technical recruiters make it their business to discover and screen skilled candidates in the big data, IT, and other technical domains since these people are hard to find. They work with businesses to ascertain their personnel requirements before searching the labor market for suitably qualified candidates. They assist the qualified candidates they identify for available positions with every step of the onboarding process, from the beginning of the job search.

Preferred Qualifications – Technical recruiters must possess a thorough understanding of the technical knowledge and expertise that employers seek in applicants. Technical recruiters must build relationships with applicants in order to properly screen and interview them.

Salary: According to Glassdoor, technical recruiters earn an average of $48k annually and rank 4.1 out of 5 in terms of work satisfaction among the 50 Best Jobs in America.

Leave a Reply

Your email address will not be published. Required fields are marked *