We live in a world governed by data, yet the primary sources always offer raw data that needs cleaning, shaping and sorting before it can be put in models and used to produce forecasts. The job of data engineers is to clean, organize and optimize data before it is passed on to other specialists, such as data scientists or statisticians.

A good data engineer is able to focus and have enough patience until they get all the data in the right format for analysis, saving a lot of time further down the line. You have a support role, but a very important one, that is not always properly acknowledged. This job is well suited for the introvert who doesn’t appreciate being in the spotlight.

When applying for a data engineer job, be sure to show at least a bachelor’s degree in computer science, mathematics, statistics or similar, doubled by a good understanding of data types, coding languages and an analytical mind.

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Tips for Data engineer Resumes

Data Management

Data is precious and makes the world go round more than money sometimes, but just like a gold ore, it needs to be cleaned, filtered and casted into a certain mold to become valuable. Data engineers are the gold diggers of modern times; they wash and refine the data until it shows the characteristics it was collected for. Data verification is a process on its own and can be done either by random verification, by statistical testing or by taking records one by one and certifying accuracy. After these procedures they need to store multiple copies in safe warehouses, ready to be accessed and used by data scientists, programmers or statisticians.

Programming Languages

Although there are dedicated tools, any data engineer can manage with general languages such as Python, Java or Scala. It goes without saying that you must be fluent in SQL to handle all that data and be able to use at a higher level the most common data manipulation software starting with the old faithful Excel, going through R, SPSS up to Matlab. If you are going towards the big data challenge, some machine learning and NoSQL are also good to have in your toolbox.

Problem Solvers

This is a job for those who like to take things apart just to build better versions. As a data engineer there is no tool better than your own thinking and tinkering with ideas until you get it right. You need to be stubborn about finding solution, but flexible regarding your methods, as there are new tools perfected or invented every day.

Data Engineer Resume Samples

The following resume samples and templates for data engineer can help you get a better idea of what your resume can look like.

data engineer template and resume

When applying to a data engineer job try to highlight in your resume the strong points which are in line with the employer’s requirements, as well as notable past achievements.

Additional Data Engineer Resume Tips

  • Data collection– Since data engineers need to gather data from different sources, it helps to be familiar with different data APIs, or creating scripts for this purpose. ETL tools like DataStage and Redpoint could also give your resume a boost.
  • Big Data– A data engineer’s toolkit is not complete if they don’t have the skills to go into the next dimension of data harnessing. Big data is not only more volume, it requires different tools and mindsets.

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