3 Essential Soft Skills for Data Engineers

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This post is contributed by Caroline Evans, Burtch Works’ data engineering recruiting specialist. Data Engineering is a very technically intensive field that generally requires advanced programming skills and a vast toolkit. With that in mind, I thought I would address some of the soft skills that are critical to landing the perfect job and performing well… Read more »

Data Engineer vs. Data Scientist: What’s the Difference?

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This post is contributed by Caroline Evans, Burtch Works’ data engineering recruiting specialist. As I wrote about last year, the expansion of data teams means that, increasingly, data engineers are working alongside data scientists to prepare data for analysis and put data products into production. Being a recruiter that specializes in data engineering roles, I often… Read more »

Decoding Data Engineering Job Titles & Specializations

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This post is contributed by Caroline Evans, Burtch Works’ data engineering recruiting specialist. As the data engineering field continues to evolve alongside shifts and advancements in technology, there have been some specializations emerging that focus on different backgrounds and job responsibilities. Job titles are of course fluid and can vary greatly depending on the organization –… Read more »

12 Do’s and Don’ts for Data Engineer Resumes

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This post is contributed by Caroline Evans, Burtch Works’ data engineering recruiting specialist. With data engineers now being a common sight on data teams amongst data scientists and analytics professionals, Burtch Works has been seeing more requests for professionals in this field. We’ve also been getting more requests from the data engineers that we work with,… Read more »

The Rise of Data Engineering: Common Skills and Tools

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This post is contributed by Caroline Evans, Burtch Works’ data engineering recruiting specialist. As data teams have increased in size, it’s now become more common to see data engineers working alongside data scientists and other analytics professionals. Whereas once it was expected that data scientists be responsible for every aspect of the data life cycle,… Read more »