Data skills continue to be in high demand with enterprises looking to get the most out of their data. With organisations looking to capitalize on their data assets, the role of DevOps engineer, Python programmer, Data Engineers and Machine Learning engineer has become central to enterprises. In this article, we list down the top 10 critical tech skills IT professionals must possess to compete and multi-task. While there’s a raft of technical skills that are required, the reality is that IT landscape is one that is undergoing frequent changes. The landscape is such that the technology is constantly challenged by new technology, complex problems, or dynamic roles. While new technologies and tools crop up continuously on the AI and analytics landscape, it’s important for developers to have a broad understanding of these tools.
From how to use Hadoop or Big Data querying to machine learning and AI, there are some important attributes and skills that have emerged as a must-have going into 2019. To be successful in this field, one requires a mix of programming skills and understanding of computational aspects such as dealing with large volumes of data and working with real-time data. In today’s competitive environment, programmers should continuously re-learn and update their hard skills.
Data skills continue to be in high demand with enterprises looking to get the most out of their data. With organisations looking to capitalize on their data assets, the role of DevOps engineer, Python programmer, Data Engineers and Machine Learning engineer has become central to enterprises. In this article, we list down the top 10 critical tech skills IT professionals must possess to compete and multi-task. While there’s a raft of technical skills that are required, the reality is that IT landscape is one that is undergoing frequent changes. The landscape is such that the technology is constantly challenged by new technology, complex problems, or dynamic roles. While new technologies and tools crop up continuously on the AI and analytics landscape, it’s important for developers to have a broad understanding of these tools.
From how to use Hadoop or Big Data querying to machine learning and AI, there are some important attributes and skills that have emerged as a must-have going into 2019. To be successful in this field, one requires a mix of programming skills and understanding of computational aspects such as dealing with large volumes of data and working with real-time data. In today’s competitive environment, programmers should continuously re-learn and update their hard skills.


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