High Salary: 6 tips for Hadoop job seeker

The big data industry is growing better, enterprises do not hesitate to hire data analysts, "learning Hadoop, looking for a good job is not a dream," the slogan inspired countless students to devote to large data cause, but the employment is not so simple, "work experience" undoubtedly to the students seeking high-paying jobs broke the basin of cold water, how to solve the experience problem? How to make yourself look more professional? How do you get a deeper insight into your industry? Technical recruiters offer insights and suggestions for job seekers with Hadoop skills. InformationWeek writer Kevin Casey gave us a detailed analysis.

The open source Apache Hadoop project has been a hot spot, and it's good news for it job seekers with Hadoop and related skills.

Matt Andrieux, head of technical recruiting at San Francisco's Riviera company, told us that demand for Hadoop and related skills has been on a straight trend over the past few years. "Our analysis shows that most recruiters are start-ups, and they are recruiting a large number of engineers to help them use data in a variety of ways to get the company out of trouble," Andrieux told us in an e-mail interview. Many companies base their entire business on data collection and analysis, in virtually any industry. ”

Andrieux points out that it is not hadoop that stimulates economic prosperity, but rather the development of Hadoop and similar technologies as a result of the large amount of data-processing demand generated by economic growth.

Andrieux said: "Because of the human and machine activities on the Internet, the explosion of unstructured data has led to the rise of Hadoop." Unstructured data is of great value, but it is almost impossible to dig out meaningful information through previous, SQL-like indexing techniques. Hadoop and similar tools in large data ecosystems provide engineers with the ability to create structured data from unstructured data and gain valuable business insights in a large scale of distributed scope.

The job market is more bullish for job seekers who are familiar with such big data tools as Hadoop (Cassandra, CouchDB, MongoDB, Riak, etc.).

We also invited Andrieux to dig deeper into past job-search hotspots and find out about the current employment situation of it people with hadoop skills and related expertise.

1. Experience is important

Asked what the company wanted for IT staff with hadoop skills, Andrieux replied, "Experience is the most important thing." When you're eager to find a job with data, you're moving into a cutthroat job market--although you will accumulate experience one day, it's important at the moment.

If you have the necessary experience, you should show it properly.

Andrieux said: "The startups in our customers are looking for engineers who can apply big data to actual production, just to show that it's not enough, and it's best to have hands-on experience in big companies." ”

2. How to gain experience

For young IT job seekers or experienced it people who want to learn new skills, Andrieux recommends two methods: professional training and certification, and participation in local industry gatherings.

"If someone wants to get into the Big data field and learn Hadoop, I recommend that you attend the Hadoop professional training offered by a large company like Cloudera and Hortonworks and pass the relevant certifications," Andrieux suggests. "These trainings provide engineers with hands-on experience and are usually guided by experts in the field," he said.

Local industry groups offer an alternative education for job seekers, as well as important social opportunities. Andrieux said: "For example, party groups around the Thebay area (Riviera company location) have meetings every week or every month, with extensive discussion of data-oriented topics, often with influential industry leaders, Rich experience in this field and can provide best practice advice. There is a lot of exchange opportunities in the party, you can know a lot of data experts. ”

3. Understand the terminology used in recruiting

In resumes, resumes, and other job-seeking documents, some professional terms and terminology often attract the attention of recruiters and personnel managers. Andrieux offers three representative examples: large-scale design and construction of scalable distributed data storage, systems and pipelines; a Hadoop cluster that implements XXXX nodes; start from scratch or build from the bottom.

4. Hadoop-related work does not necessarily include "Hadoop" in the title

If you're looking for a job, don't look too narrow--keep in mind that big data-related positions come in a variety of ways, and that some work seems to be related to Hadoop, but it's actually just a disguise. "Common data engineers, even jobs like back-end engineers, are related to Hadoop," says Andrieux. ”

5. Sustained attention to the evolving industry environment

Andrieux notes that Hadoop is a relatively young technology, as is the case for the entire large data industry. Therefore, to be in the large data industry or related industries to better development, timely attention to the latest industry trends and changes are particularly important.

Keep an eye on data conferences like the Strate and Hadoop summits. Andrieux said: "Attention to these data conferences are very helpful to understand the industry cutting-edge technology, in these meetings there will be a lot of famous enterprises to participate." Focus on the industry leaders ' blogs on their company's website, learn about some of the important speeches at the conference, don't be afraid to talk to recruiters about industry trends, but we look at industry trends more forward-looking than the public. ”

6. Hadoop related work is not the only option

To be sure, Hadoop is still popular, but Andrieux points out that Hadoop is not the only platform or skill to cope with data exponential growth. "Hadoop is not the only option for the market to respond to data needs, focus on the different technologies to deal with large data, ask what technologies are being used by others around them, and what are the advantages and disadvantages." ”