Senior Data Engineer Resume
Senior Data Engineer Resume – You can create a data pipeline that ingests multiple data sources. You’re great at creating tools that everyone in your company can use. From data analysts to executives, you build ETLs so they can easily consume data, and you’re adept at thinking through the many complex steps involved in turning messy data into something usable.
You don’t even have to be great at writing a resume or data engineer cover letter, but that’s what it takes to get a data engineer job.
Senior Data Engineer Resume
These data engineer resume templates help professionals land jobs at great companies like Stripe and Facebook. We’ll also give you some expert resume tips to ensure you put your best foot forward to help you land your next data engineer role.
Download Free Senior Data Engineer Resume Example .docx (word) Template On Resumethatworks.com
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 need to be great developers and appreciate how other members of their team use data. While data scientists need data that can be plugged into their predictive models, data analysts need a queryable database to create insights for executives.
It’s not easy to demonstrate in a one-page resume that you can build robust data pipelines, create ETLs for various data sources, and ensure uptime for all data congestion. How can you make sure you cover all your bases in your data engineer resume?
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While there are no hard and fast rules, we’ve talked to hiring managers at top tech companies to find out what works and what doesn’t to make sure you get the first round. Interviewed. 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 a human reviews your resume, an automated filter scans it, and you need to satisfy an automation wizard.
Companies use an applicant tracking system (ATS) to manage all the applicants they receive for a given role. In addition to helping companies manage applicants, an ATS allows the hiring manager to filter candidates based on specific keywords.
So first of all, you need to go through this filter before anyone can consider your eligibility for the job you are applying for.
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You only need to include the hard skills that qualify you for a given data engineering role. Skip the soft skills. For example, saying you “have strong communication skills” is meaningless without context.
Clearly for data engineers, you have more current technical skills than ever before. For this reason, companies use ATS filters to screen only for difficult resume skills. Here are some common ones you can enter to get past the keyword filters.
You will never be expected to do all of them. Instead, you should demonstrate mastery of a few tools and languages rather than a light breadth of a whole host. Having a laundry list of skills is a big red flag to a hiring manager reviewing your data engineer resume.
As a rule of thumb, only include skills that you are comfortable interviewing for. One sure way to end up on an employer’s blacklist is if you lie on your resume. do not do it; It’s just not worth it. You’ll be happier landing a data engineering job you’re suited for rather than scrambling on day one.
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Make sure your data engineer resume format is attractive to employers and usable through automated filters. To that end, here are some quick resume formatting tips:
You should have a simple goal as your north star with your resume format: make the reader’s job as easy as possible.
Put yourself in the shoes of the person who is reviewing hundreds of resumes for a given role. You don’t want to read walls of text spanning multiple pages. You want to read something concise that explains why the applicant is a good fit.
When you’re a data engineer with a few years of experience under your belt, your education matters less than your work experience.
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For this reason, the education section of your resume will be different if you’re an experienced data engineer versus just out of college or boot camp.
Don’t miss out on the classes you took in school. Since you should aim to keep your resume to one page, optimize this space as a senior data engineer. Likewise, your GPA won’t convince you of your ability once you’ve got a few years of work under your belt.
As an entry-level data engineer, you need to demonstrate your ability to learn new technical skills. What better way than to talk about the tough classes you studied?
Most data engineers should not include an objective on their resume. Why? This goes back to the goal of making your resume one page.
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Most resume objectives only mention general information that could 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, just omit it.
Looking for a Data Engineering role where I can leverage my Python knowledge to transform various data sources into actionable insights for a data-driven organization.
Data Engineer looking to leverage my experience building data pipelines to contribute to Stripe’s mission to make payments easy and accessible for small businesses worldwide.
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Data engineers transitioning from careers in software engineering are looking to work with Apple to leverage their experience with ETLs 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 exactly how much raw data you’re consuming and how much clean, polished data you’re delivering to 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 better than 95 percent of others, measure the impact of your work.
Numbers are more persuasive than vague success statements. Whenever you can (even if it’s guesswork), try to gauge the impact of work you’ve done in previous roles.
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No matter where the hiring manager looks on your resume, they should leave feeling that you deserve a phone interview. The best way to make such a convincing case is to let the numbers speak for themselves.
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 the interview.
Employers like to see candidates go above and beyond by highlighting personal projects related to their careers. How can you do that? By talking about past projects you’ve worked on.
For an entry-level data engineer, anything counts! As long as you were digesting the data and making it usable for another party, it’s worth adding to your resume.
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If you don’t have such a project, now would be a great time to start working on one. Here are some project ideas you can incorporate:
It doesn’t matter if the project you worked on is related to the role. Hiring managers just want to know that you have the drive and passion to learn what it takes to be a successful data engineer for entry-level positions.
We know, this is the news you didn’t want to hear. Unfortunately, customizing your data engineer resume to the job you apply for greatly improves your chances of getting an interview.
Fortunately, only 15 percent of data engineers customize their resumes for each job, so if you go that extra mile, you’ll automatically be in the top 15 percent (#math )!
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How do you prepare your resume for a given job? First, read the job description, responsibilities, and qualifications. Do projects you’ve worked on come to mind as you read?
Likewise, what comes to mind when you read about the company? Even if what you’re thinking about seems like a stretch, it’s worth adding to your resume.
Another way to assess is to ask yourself how you can improve your work experience to be relevant to the role you are applying for. For example, if you’re applying for a position that’s looking for someone to build ETLs from scratch and you have experience working for startups, you might want to ask as much about it as possible. Should talk!
Follow these steps, and your data engineer resume will be in the top five percent of all applicants. There was a lot to take in, so here are the key points:
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You’ve got it! You’ve taken a huge first step toward landing your next (or first) data engineer role. Taking the first step is always the hardest. Now go ahead and apply for more jobs!
Our free online tool will help you create a resume that stands out and gets you hired by a top tech company. In 2020, data engineering emerged
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