CyberTecz
To become a full stack Developer you require certain skills starting with the basics of Web development, API development, and Database Technology apart from these you need hands-on experience with technology’s like React js, Angular Js, Node Js, and MongoDB.
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To become a DevOps Engineer you need certain skills and place definitely proficiency in Coding and Scripting is one of them. Apart from these, you need to know tools such as Docker, Jenkins, Git, Kubernetes and Puppet. A key skill to have is also having the knowledge of OS such as UNIX and Linux.
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To become a Data Scientist you need to have certain skills starting with a strong grasp on static analysis as well as a command of programming languages such as Python, R, and SQL. Apart from that you also need Database technologies and not forget a strong business acumen and data insight. Companies such as Musigma, VISA, NETFLIX, and Google
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The consumer marketplace is ever-growing and evolving. As businesses try to keep up and engage their customer. They try to look into market research and form, informed decisions. Identify and collect appropriate customer, competitor, market, and economic, financial and/or operational data.
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IT program manager is a strategic project management professional whose job is to oversee and coordinate all the technical aspects of a project. Think of a program manager as an architect who sketches a blueprint.
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A software architect is a software development expert who makes high-level design choices and tries to enforce technical standards, including software coding standards, tools, and platforms. Companies such as NVidia, Dell, Intel, Microsoft and JPMorgan are paying
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Network security engineers are responsible for the provisioning, deployment, configuration, and administration of many different pieces of network and security-related hardware and software. Required skills are Data and network security, Operating system
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Data engineering is also a broad field, but any individual data engineer doesn’t need to know the whole spectrum of skills. In this section, we’ll sketch the broad outlines of data engineering, then walk through more specific descriptions that illustrate specific data engineering roles.
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A cloud architect is an IT professional who is responsible for overseeing a company’s cloud computing strategy. This includes cloud adoption plans, cloud application design, and cloud management and monitoring.
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Machine learning engineers feed data into models defined by data scientists. They’re also responsible for taking theoretical data science models and helping scale them out to production-level models that can handle terabytes of real-time data.
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