These are the most in-demand roles in big data

Big data seems to be the buzzword of the moment, no matter where you are in the world or what industry it is.
What once seemed a little bit of a buzzword is now one of the most lucrative tech markets.
The digital skills gap in tech means that companies are competing for the best talent.
There are many career opportunities in the big data ecosystem, with businesses of all sizes trying to efficiently capture, process and analyze these massive data sets.
No matter what career path you choose, you will need to have a unique set of skills to transform unstructured data into actionable insights.
The sheer variety of specialties available in tech is one of the best things about working in the field. Which big data job is right for you?
This post will take a look at the top jobs in big data and the skills required to excel in each.
Experienced big data analysts are highly sought after and one of the most desired roles in big data. Big data analysts need to be able to work with key technologies such as Apache Hadoop, Pig, Hive, and others.
This type of role requires strong analytics skills and a background in statistics. You will also need to be familiar with domains.
See AWS Big Data Analyst jobsBig data architectLooking at big data architect jobs? This is one of the most sought-after jobs in the market, and skilled architects can be a great asset to any company that wants to implement a strong big data strategy. Technically speaking, big-data architects must be proficient in large-scale databases, data analysis, machine learning, and programming languages such as C#,.NET and HTML5, Spark, Python and Hive.
Soft skills include the ability to lead others, build strong relationships with vendors, partners and other key stakeholders, as well as being able to mentor and work with them.
AWS Big Data Architect jobsBig Data engineerBig Data engineers are responsible for developing, testing, implementing, and maintaining big data solutions that have been created by architects within an organization. This role is not only highly sought after, but it is also very popular. You will need to be able to understand the basics of data architecture and the tools it requires, as well as SQL, ETL, data warehousing, Hadoop-based analytics, machine learning, and other operating systems. Here are some of the responsibilities that you can expect as a big-data engineer:
Maintenance and creation of an analytics infrastructure
Development, testing, maintenance of architectures (e.g. databases, large-scale processing systems)
Data mining, modeling, acquisition, verification, and creation of datasets

AWS Big Data Engineer jobsData scientistData scientists basically are the technical and analytical wizards who crunch numbers and extract juicy insights from data sources. They interpret and convert structured and unstructured data into actionable business insights.
A data scientist will typically need to be able to use the same technologies as other big data roles. However, which technologies is most appropriate depends on the employer and the operational setup. Data scientists will usually know how to:
Get Hadoop up and running
Execute queries against the data stored within
Take the data and extract it.

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