What Is Big Data?
What is big data and what are the different big data jobs and Their Salaries?
Big Data is a word that is often used to depict large volumes of data. This data is both structured and unstructured data that overruns a business on a day-to-day basis. But it is not all about the data that is collected that is important. What is important is what the organization or company does with the data that matters. Big data can be used to analyze insights that can enable organizations to come up with better decisions and strategies for their business. The jobs in the field of big data are often referred to as big data jobs.
In a survey by NewVantage partners, 91% of the top management of organizations said that they intended to increase their investments in Big Data. Most sectors of the economy, have begun collecting, organizing, and interpreting a large amount of data related to their operations. These executives said that they thought to invest in data was required to turn their operations into more competitive businesses.
For candidates seeking employment in the big data Job fields, this is wonderful news.
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Where are the Big data Jobs?
The quick expansion of big data applications has caused the demand for workers to increase drastically recently. In their 2018 Workforce report, LinkedIn reported a great shortage of workers in data science both nationally and internationally. They reported a shortage of about 151,717 of people with skills in data science. With a majority of that being from Major cities such as New York and San Francisco.
Here are the Top 7 Big Data Jobs
1. Data Scientist
Among all the big data jobs out there, Data scientists are far the most popular of them all. There are many opportunities for skillful IT data scientists according to PayScale. These scientists who are proficient in gathering, interpreting complicated data for large companies. In partnership with multi-functional teams, they collate and design different models for statistical data to put across their recommendations and action plans related to the various systems.
To be able to work in this field, the data scientists will need to have advanced knowledge regarding different techniques in mining like support vector machines, regression analysis, decision trees, and clustering. In addition to previous work experience, an advanced degree such as a Master’s Degree or a Ph.D. is usually necessary to get this position.
Data Scientist Salary:
Data scientist jobs have been cited by glassdoor as number 1 in their list of the 50 best Jobs in America 2019. Positions like this can average about a $108,000 salary with a job satisfaction score of about 4.3 on 5.
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2. Data Engineer
According to PayScale, Data engineers use their knowledge in computer science to collect, scrutinize and control sets of massive data. They perform tasks such as the creation and translation of computer procedures into codes, development of technical processes to access data, and putting together reports, dashboards, and features for users.
Candidates who have completed a degree in computer science, computer engineering or any field related are often the best picks for jobs in data engineering positions. Also, a three – five-year working experience in the field is an advantage. Desired technical knowledge includes proficiency in SQL database design, knowledge in Linux systems, a sound command in coding languages such as Java, Hive, Kafka or storm. Additional skills include good written and verbal communication skills as well as the capability to work in teams as well as independently.
Data Engineer Salary
Data scientist jobs have been cited by glassdoor as number 8 in their list of the 50 best Jobs in America 2019. Positions like this can average about a $106000 salary with a job satisfaction score of about 3.9 on 5.
3. Data Analyst
Data analysts design large – scale surveys to gather various information about various topics. Their job includes recruiting participants in the survey, compilation, and interpretation of data submitted and represent the findings in both digital formats and traditional charts.
Knowledge in computer programs such as Microsoft Excel and Access, SQL databases and SharePoint are required. Also, good communication and the ability to effectively present and translate complicated information to stakeholders of the company.
Data Analyst Salary
Data scientist jobs have been cited by glassdoor as number 31st in their list of the 50 best Jobs in America 2019. Positions like this can average about a $60000 salary with a job satisfaction score of about 3.95 on 5.
4. Security Engineer
According to PayScale, the vital role of IT disaster planning, mitigation and aversion is being played by security engineers. They reduce the risk exposure in Corporate by building computer firewalls, identifying and responding to invasion and finding system security issues forensically. Added to that, they design and put test plans into place for new or updated hardware and software and implement multilayered defense protocols for computer networks.
Preferred Qualifications –
The qualifications required for this position are a Bachelor’s degree in engineering or computer science with many years of work experience and industry certifications. Also, an in-depth understanding of operating systems and computer languages is needed. These engineers should also have problem-solving skills, abilities in math and be able to work independently.
Security Engineer Salary
Data scientist jobs have been cited by glassdoor as number 17th in their list of the 50 best Jobs in America 2019. Positions like this can average about a $102000 salary with a job satisfaction score of about 3.8 on 5
5. Database Manager
Highly trained and skilled Database managers in project management and multitasking identify and repair complicated databases. They review requests by businesses for data and data usage, evaluate the sources of data to ameliorate data feeds and help in designing and installing storage hardware according to PayScale
Vacancies for database managers usually have a degree in information technology on their listings and not less than five years of experience in a leadership position in databases as preferred qualifications. They should also be knowledgable in different database software like MySQL and Oracle. Interested in big data jobs, then a database manager might be a choice for you.
Database Manager Salary
According to Glassdoor, Database managers earned an average of $73,545.
6. Data Architect
With their knowledge in data-oriented computer languages, data architects organize and maintain data in relational databases and corporate repositories, building architecture strategies for each area of the enterprise data model.
What employers look for when employing for vacancies an advanced technical proficiency in languages SQL and XML, creative visualization, problems – solving skills and analytical acumen and strong detail orientation. A lot of data architects have a Bachelor’s or advanced degree in a field related to computer science
Data Architect Salary
These architects are among the highest salary earners in the big data sector with an average of $113,078 as reported by PayScale.
7. Technical Recruiter
Candidate pools for big data, IT and other technical professionals are being sourced by technical recruiters. The march the strongest candidates in the market to corporations they work closely with by assessing by hiring needs for specific job vacancies. In addition to that, they help the candidates they recruit through the processes of the job application, interviewing, hiring and the process of onboarding.
An advanced knowledge of the qualifications that hiring managers look for in their prospective recruits is required. Great skills in dealing with people are also important because great technical recruiters have to build a positive relationship with candidates during the processes of screening and interviewing
Technical Recruiter Salary
Data scientist jobs have been cited by glassdoor as number 28th in their list of the 50 best Jobs in America 2019. Positions like this can average about a $48000 salary with a job satisfaction score of about 4.15 on 5.
How To Become A Big Data Engineer
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