![]() Python can be called the Swiss army knife of programming languages due to its multiple use cases, especially in building data pipelines. ![]() It’s easy to learn and has become the de-facto standard when it comes to data engineering. Python is a popular general-purpose programming language. The Not-so-Secret Data Engineering Tools 1. ![]() This post will highlight the top 10 tools that data engineers use for building effective, efficient data infrastructure. To build such a rich data infrastructure, data engineers require a mix of different programming languages, data management tools, data warehouses, and whole sets of other tools for data processing, data analytics, and AI/ML. Data engineers are essential for making data more useful to companies. They’re also the backbone of data infrastructure design and algorithm development. She is a techie at heart and loves to stay up to date with tech happenings across the globe.Īn increase in cloud tools and the need to process a mountain of raw data created a significant rise in demand for data engineers. Savia Lobo is a content writer at RudderStack.
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