Aug 21, 2018 - 07:58 PM
One of the most essential skills for entry-level data engineers is knowledge of data architectures. Corporations and organizations use combinations of software and hardware to collect, manage and analyze data, and you should have the skills to deal with these systems and troubleshoot their problems. Though data structures vary, you should possess the basic skills to approach one with confidence.
Because you are an entry-level data engineer, employers may not necessarily focus on your experience so much as your skills. Still, your resume should showcase any prior experience dealing with data infrastructures or tech—including internships and volunteer experience. Applying to entry-level positions means you should not expect to come in at an expert level, so focus more on your willingness to learn.
Nov 29, 2018 - 12:12 PM
Data engineers may work closely with data architects and data scientists, so experience in collaborative projects, as well as good interpersonal skills, communication skills, and teamwork skills will also be important. The technical skills that will be required include: Hadoop-based technologies, SQL-based technologies and UNIX, Linux, and Solaris. Some employers also will be attracted to certain certifications, such as Certified Data Management Professional, Cloudera Certified Professional Data Engineer, and Google Cloud Certified Professional Data Engineer.
Also, because it is an entry-level position, employers will understand if you’re just finishing your schooling, so it’s okay to include relevant classwork or any internships with relevant experience. Finally, try to include as many of the keywords from the job ad as possible, such as “experience in Linux” or “collaborative team member” or “data engineering degree.” Never lie about your abilities or experience.