Data Engineer Resume Indeed
Data Engineer Resume Indeed – You can build a data pipeline that consumes multiple data sources; You’re good at creating tools that everyone in your company can use. From data analysts to executives, you are a master at thinking through multiple complex steps, such as preparing ETLs so that they can easily consume data and use messy data.
You don’t need to be good at writing a resume or data engineer cover letter, but it’s what it takes to get a data engineer job.
Data Engineer Resume Indeed
These data engineer resume templates are proven to help professionals land jobs in top companies like Stripe and Facebook. We’ll also give you some expert resume tips to make sure you put your best foot forward to help you land your next data engineer role.
Action Verbs To Make Your Resume Stand Out
According to the US Bureau of Labor Statistics (BLS), the median salary for data engineers is $94,000. At the same time, the expected annual growth rate is nine percent year-on-year (faster than average).
It’s no surprise that software engineers are moving into data engineering roles, but data engineers require a rare combination of skills to succeed.
They must be good developers and have an appreciation for how other members of their team use data. While data scientists need data that can be plugged into their predictive models, executives need a queryable database for data analysts to create visualizations.
It’s not easy to demonstrate on a single page resume that you can build robust data pipelines, create ETLs for various data sources, and ensure uptime for all data traffic. How can you make sure you cover all your bases on your data engineer resume?
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While there are no hard and fast rules, we talked to hiring managers at top tech companies to distill what works and what doesn’t to help you land a first-round interview. In short, here’s what you need to do:
Believe it or not, the “skills” section of your resume is the most important. Why? Before humans review your resume, an automated filter scans it and you need to appease the automation wizard.
Companies use an applicant tracking system (ATS) to manage all the applicants they receive for a particular role. In addition to helping companies manage applicants, an ATS allows hiring managers to filter candidates based on certain keywords.
So first things first, you need to get past this filter before a person considers your qualifications for the job you’re applying for.
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You only need to include the hard skills that qualify you for a given data engineering role. Apart from soft skills. For example, saying you have “strong communication skills” is meaningless without context.
Clearly for data engineers, there are more existing technical skills than you will ever have. For this reason, companies only use ATS filters for hard resume skills. Here are some of the most common ones you can list to pass keyword filters.
You can never expect all these. Instead, you should demonstrate mastery of a few tools and languages rather than a lightweight breadth of a whole host. Having a laundry list of skills is a huge red flag to hiring managers reviewing your data engineer resume.
As a rule of thumb, only include skills that you are comfortable interviewing with. Lying on your resume is a surefire way to get blacklisted by employers. Don’t do it; It’s just not worth it. You’ll be much happier landing a data engineering job you’re a good fit for than scrambling on day one.
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Make sure the format of your data engineer resume format appeals to employers and is used through automated filters. To that end, here are some quick resume formatting tips:
Like your answer star, you should have one simple goal with your resume format: make the reader’s job as easy as possible.
Put yourself in the shoes of someone sifting through hundreds of resumes for a given role. You don’t want to read walls of text that span multiple pages. You’ll want to read a brief that explains why the applicant is a good fit.
When you are a data engineer with a few years of experience under your belt, your education is less important than your work experience.
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For that reason, the education section of your resume will vary if you are an experienced data engineer and fresh-out-of-college or boot camp.
Don’t waste space with the classes you took in school. Since your goal is to keep your resume on one page, optimize that space as a senior data engineer. Likewise, your GPA won’t make a convincing case of your qualifications after you have a few years of work under your belt.
As an entry-level data engineer, you must demonstrate your ability to learn new technical skills. What better way than to talk about the hardest classes you took?
Most data engineers should not include a resume objective on their resume. Why? This goes back to the goal of making your resume one page.
Manager, Data Engineering Resume Samples
Most resume objectives only mention general information that can otherwise be gleaned by reviewing the rest of your resume.
As a rule of thumb, if you’re using the same resume objective for multiple job applications, exclude it.
Looking for a data engineering role where I can leverage my Python knowledge to transform disparate data sources into actionable insights for a data-driven organization.
Data Engineer seeking to leverage my experience in building data pipelines to contribute to Stripe’s mission of making payments easy and accessible for small businesses around the world.
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Transitioning from a software engineering career to a data engineer, I leveraged my experience with ETLs to work with Apple to create products that make it easier for non-coders to build businesses.
You’re a data engineer, so using numbers is a great way to talk about your work experience. Data engineers are unique because you know how much raw data you’re using and how much clean, polished data you’re pushing into your data warehouses.
You need to convince the hiring manager that you are the best fit for the data engineering role you are applying for. To make your data engineer resume better than 95 percent of others, quantify the impact of your work.
Numbers are more convincing than vague achievement statements. Whenever you can (even if they are estimates), try to quantify the impact of the work you did in previous roles.
How To Write A Stellar Entry Level Resume Summary
No matter where the hiring manager sees your resume, they’ll think you deserve a phone interview. The best way to make such a convincing case is to let the numbers speak for you.
If you’re an entry-level data engineer with no work experience (or “fresher,” as the kids call it these days), you need to convince the hiring manager that you’re worth an interview.
Employers like to see candidates go above and beyond by highlighting personal projects they’ve worked on in relation to their careers. How can you do that? By talking about past projects you have worked on.
For an entry-level data engineer, anything counts! As long as you’re consuming data and making it available to another party, it’s worth including it on your resume.
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If you don’t have any such plans, now would be a good time to work on one. Here are some project ideas you can add:
It doesn’t matter if the project you worked on is related to the role. Hiring managers want to know that you know and have the passion to learn what it takes to be a successful data engineer for entry-level positions.
We know, this is news you don’t want to hear. Unfortunately, customizing your data engineer resume for each job you apply for will drastically improve your chances of getting an interview.
Fortunately, only 15 percent of data engineers customize their resumes for each job, so if you go the extra mile, you’ll automatically be in the top 15 percent (#math)!
How To Create A Data Engineering Resume (with Template And Example)
How do you match your resume to a given job? First, read the job description, responsibilities and qualifications. Do any projects you’ve worked on come to mind as you read?
Similarly, does anything come to mind when reading about the company? Even if what you’re thinking about seems like a stretch, it’s worth including on your resume.
Another way to assess is by asking yourself how your work experience can best be tailored to the role you are applying for. For example, if you’re applying for a position looking for someone to build ETLs from scratch and have experience working for startups, you should talk about that as much as possible!
Follow these steps and your data engineer resume will be in the top five percent of all applicants. It takes a lot, so here are the key takeaways:
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You got this! You’ve taken the first step toward landing your next (or first) data engineer role. Taking the first step is always difficult. Now go ahead and apply for more jobs!
Our free online tool will walk you through creating a standout resume and getting you hired at a top tech company. The editorial team consists of
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