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So, let the countdown begin –
10. Full Stack Developer:
Skills: In order to become a full stack developer you should have knowledge of front-end languages like –
Now, for back-end, you need to be good at designing APIs and you should have good knowledge of server side programming language. Some of the famous ones are –
At last, you require knowledge of databases like –
Skills: A Cloud Architect must have –
So, what does a Cloud Architect do?
Hence, he must have good hands-on knowledge of cloud platforms like –
Skills: His/Her skills should include –
Leadership skills are essential for a product manager, as he is responsible for the management of many different people in various departments. He must have good analytical abilities and outstanding time management skills. Product managers must be able to deal with stress, as the job usually entails obstacles and challenges.
Skills: The primary responsibility of a DevOps engineer is to develop software which is easily deployable. This is where his skills pertaining to cloud automation and orchestration with DevOps tools comes into the picture. In short, he should be able to:
Skills: You will need to excel in Strategic System Architecture, System & Network Development and QA Expertise if you want to be a systems architect.
You will be responsible for the following tasks:
Skills: In a nutshell, AI is basically creating smart machines. AI architect’s role is to develop and advise on complex AI solutions to meet the client’s requirement.
For that, you should be pretty good with Mathematics and Stats.
Good Hands-On knowledge of AI related technologies like Deep Learning and Machine Learning is a must.
Need to master on machine learning and deep learning technologies like –
Skills: A strong knowledge of the key concepts of Blockchain like Consensus mechanisms, Distributed Technologies, and Encryption algorithms will help you nail this job.
The primary responsibility of a Blockchain Architect is to develop Business solutions via Blockchain for various system. In short, you should be able to:
Skills: Professionals Targeting this job role need a strong knowledge of Hardware Design and Architecture to build smarter ecosystems.
As a member of a team of IoT consultants and senior consultants, you will use your in-depth knowledge of networking and Hardware to design and implement smart solutions for your clients.
Technical responsibilities include problem identification, solution architecture definition, hardware/software specification and design, implementation, testing, client training, and deployment. You would need to:
Skills: The Big Data Solutions Architect is responsible for managing the full life-cycle of a Hadoop solution. This includes creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution.
Experience with Big Data tools like – Hadoop, MapReduce, Hive, HBase, MongoDB, Cassandra, Oozie, Mahout, Flume, ZooKeeper and Sqoop and other Hadoop ecosystem tools. Basically, you will be carrying out tasks to design a Big data solution.
The Big Data Solutions Architect is required in any organization that wants to build a big data environment on-premises or in the cloud. So, some cloud knowledge like AWS will be necessary.
Skills: Statistical analysis and the know-how of leveraging the power of computing frameworks to mine, process, and present the value out of the unstructured bulk of data is the most important technical skill required to become a Data Scientist. The commonly required skill sets are:
So, these were the highest paying jobs in the tech world currently.
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