Big Data Hot Professional pay list Hadoop talent top

As more and more companies begin to dive into the torrent of big data technology, market demand for IT professionals is rising. Today, people with the ability to collect, organize, analyze and build data from different sources are on the rise for their careers.

In the current digital age, the volume of data is much richer than any period in history, and many times this richness even becomes a heavy burden. Companies are starting to devote a lot of resources to cloud technology, mobile technology and social media. Combined with these emerging areas, coupled with the inevitable information generated by their own operations, we find that the amount of data currently needed to be collected is simply "explosive" enough to describe the speed of expansion. The market is showing a strong demand for people with the ability to collect, organize and use data content, according to a survey by Kforce, a human resources firm based in Tampa, Florida State.

It should be emphasized that all the compensation listed in this article is calculated according to a typical IT professional with a 40-hour working hours per week.

I. Hadoop developers

Hadoop is a Java based open source framework designed to support the processing of large datasets. According to Kforce's findings, the data in the Hadoop framework and a range of other related technologies-including hive, HBase, MapReduce, pig, etc.-provide a high level of expertise to users. Due to the powerful impetus of the current data scale, and in fact, without the powerful ability of the large-scale distributed processing mechanism, the enterprise simply cannot afford the high cost and the long time period of processing the massive data by the traditional business intelligence tool.

"Looking at the current large data development environment, people who have the experience of using Hadoop frameworks are most popular in the marketplace." These positions are often primarily responsible for helping companies refine their long-term big data strategy and make it mature, "said Greg Jones, Kforce's CTO.

Average annual salary: 15-17.50,000 USD

Average hourly rate: 70 USD

II. Information Architects

"Big Data gives the world a new understanding of the importance of data ownership." "Kforce's big Data team points out.

To make full use of the enterprise data advantages and to build up the operational planning, the relevant personnel must have a special skill reserve. Information architects need to understand how to define and document key elements while ensuring that the data content is interpreted to the enterprise in the most influential way. Master data Management, business knowledge, and data models constitute the three key skills that such practitioners must master.

Average annual salary: 11.375-135,350 USD

Average hourly Rate: 65 USD

Iii. ETL Developers

The volume of data and data types of enterprise users exploded, so the market also provides a very broad space for professionals who have the ability to collect and integrate large data content. The main work of ETL developers is to collect data from different kinds of data sources, and to create a variety of ways to extract data from the enterprise. In addition, they need to import and modify the extraction results according to the actual needs of the enterprise, and eventually add them to the Data warehouse.

"As the ETL software industry is now quite mature, these jobs are likely to get the most stable and enduring tenure in a large data pool, including either employees or outsourcing," says Greg Jones, a Kforce company CTO.

Average annual salary: 11.13 million USD

Average hourly rate: 63.02 USD

Iv. predictive analysis and development personnel

"Predictive analysis is now being used heavily by marketing teams to predict consumers ' future behavior and product target audiences," Kforce explained.

This role seems to be quite similar to the nature of the search for data scientists at work, and both sides need to use corporate data to study the possible direction of a variety of "hypothetical" scenarios. These skilled IT staff are adept at creating potential business scenarios and know how to use historical data representation to assume and test thresholds and future performance.

Average annual salary: 10.37-129,000 USD

Average hourly rate: 60 USD

V. Visual Tool Developers

The extreme expansion of data scale also poses many challenges to analytical work. Various visualization tools, represented by Spotfire, Qlikview and tableau, help us to do the data detection work visually and quickly. In addition, the jobs associated with it are likely to end up in the general category of business Intelligence development. According to Kforce's survey, Hadoop is now quite popular and will become a new category of expertise.

"These skills will be highly sought after in the short term as a popular resource." As the supply and demand for such resources gradually balance, and with the maturing of relevant tools, the level of remuneration for future jobs is likely to slow, and those with the resources are likely to turn into full-time employees. Said Greg Jones, CTO of the Kforce company.

Average annual salary: 15-17.50,000 USD

Average hourly rate: 57.50 USD

VI. Data Warehouse Equipment experts

"These experts specialize in data warehouse equipment, such as products from Teradata, Neteeza and Exadata companies. "Kforce points out. The core tasks associated with such professional roles include data integration, management, and performance optimization using high-end equipment. These specialized equipment is used to provide enterprise users with large-scale parallel processing (MPP) process, and through the memory, disk and data storage architecture for special optimization to build a suitable analysis of the actual requirements of the processing environment. ”

--kforce Company Large Data team

Average annual salary: 9.795-123,600 USD

Average hourly rate: 57.5 USD

Vii. OLAP Developers

On-Line Analytical Processing (OLAP) developers are experts in data organization optimization, and are good at so-called "big dump eight" type analysis. In this process, data-oriented or unstructured data sources, and need to create three-dimensional models based on the content of the data-often referred to as "star" or "Snowflake" architectures, and then create a user interface that enables users to access data through high-performance predefined queries.

Average annual salary: 9.79-115,550 USD

Average hourly rate: 55 USD

Viii. Data scientists

As part of the IT industry, data scientists used to be called "Data architects." Data scientists are another new type of technical professionals whose primary ability is to integrate their data organization skills into business value propositions. Such practitioners must also have good communication skills to successfully complete the task of interpreting data results to IT leaders and business executives. These data scientists often have their own set of sandbox environments that enable them to explore and research organizational data and help drive business innovation activities.

"Part of the analyst, part of the artist, the role of the data scientist needs to always maintain a strong curiosity, be able to keep a close eye on the data and focus trends." This is almost like combing the development trend in the Renaissance, and directing business changes based on the results, "explained Anjul Bhambhri, vice president of IBM's large data products."

Average annual salary: 12.5-140,000 USD

Average hourly rate: 40.04 USD

Original link: The 8 Most in-demand Big Data Roles

(Responsible editor: The good of the Legacy)