If you are applying for an entry level data analyst job and don't have too much work experience, don't worry! Use data analyst projects like in this resume example to showcase skills like creating predictive models.
Here are the keywords and skills that appear most frequently on recent Data Engineer job postings. In other words, these are the most sought after skills by recruiters and hiring managers. So try to include them on your resume where possible.
Remember that every job is different. Instead of including all these keywords on your resume, identify the keywords most relevant to the job you're applying to and include those. Use the free Targeted Resume tool to help with this.
Where on my resume do I add these buzzwords?
Add keywords directly into your resume's work experiences, education or projects. Alternatively, you can also include a Skills section where you can list your technical skills in order of your proficiency.
Only include these technical skills or keywords into your resume if you actually have experience with them.
Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.
Go through the Data Engineer posting you're applying to, and identify hard skills the company is looking for. For example, skills like Data Engineering, Apache Spark and Hadoop are possible skills. These are skills you should try to include on your resume.
Add other common skills from your industry - such as Apache Kafka, Amazon Web Services (AWS) and Extract, Transform, Load (ETL) - into your resume if they're relevant.
Incorporate skills - like Big Data Analytics, Docker Products and Hive - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.
In your Data Engineer resume, show evidence of where you worked with and analyzed data of all formats, whether they're surveys, spreadsheets or databases. We've highlighted examples in the infographic for reference.
Dealing with large data sets, cleaning them and uncovering business insights are important skill sets for a Data Engineer.
Try to add the exact job title, Data Engineer, somewhere into your resume to get past resume screeners. See the infographic for how to do this.
The following word cloud highlights the most popular keywords that appear on Data Engineer job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.
Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.
If you're a recent graduate or student, use this entry-level data analyst resume template when applying to jobs. It uses extra-curricular and project sections to supplement your work experience.
Senior data analyst resumes should have sufficient experience with handling large data sets and experience working cross-functionally. Keep the following in mind too:
Marketing data analysts are essentially data analysts that are focused on marketing and growth initiatives. The skill sets to mention on a marketing data analyst resume are generally exactly the same as other data analyst resumes, but you should also include marketing campaigns or tools in a skills section.
Financial data analysts are just data analysts that are in the financial industry. If you're applying for a data analyst role in 2023, you should include financial data analyst skills like Python and Finance Modeling into your resume.
Senior data engineers need to do more than just use software to manage data. They need to be able to lead and guide junior data engineers as well. They need to show positive results in their work and show that they can instruct others how to do so too. For this job, your resume needs to explain what software you used, how it benefited the company, and preferably how many people you’ve managed or mentored.
Big Data engineers need to have experience with various software engineering and design programs. They also need to work with other departments to effectively process big data. This resume shows experience interacting with other departments of companies to gather their data and achieve goals from it. It also shows how large the data is to emphasize the data this person had to work with.
On top Data Engineer resumes, skills like Apache Spark, Amazon Web Services (AWS), Data Engineering, Hadoop, Python (Programming Language), Scala, Extract, Transform, Load (ETL) and Apache Kafka appear most often.
Depending on the exact role you're applying to, skills like Big Data Analytics, Docker Products, Machine Learning, Big Data and Hive can also be effective keywords to include on your resume.
While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.
It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.Start targeting your resume