Azure Data Engineer Resume
Azure Data Engineer Resume – You can build a data pipeline that ingests multiple data sources. you’ve done a great job of creating tools that everyone in your company can use. From data analysts to executives, you make ETLs so they can easily consume data, and you’re a master at thinking through the many complex steps to make messy data usable.
You also don’t need to be good at writing a resume or data engineer cover letter, but that’s what it takes to get a data engineer job.
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These data engineer resume templates are proven to help professionals land jobs at big 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.
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According to the US Bureau of Labor Statistics (BLS), the median salary for data engineers is $94,000. Meanwhile, the expected annual growth rate is nine percent per year (faster than average).
It’s no surprise that software engineers are flocking to data engineering roles, but data engineers require a rare combination of skills to succeed.
They must be excellent 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 visualizations 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 overload. How can you ensure you cover all your bases in your data engineer resume?
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While there are no hard and fast rules, we spoke to hiring managers at top tech companies to find out what works and what doesn’t to ensure you land that first round interview. In short, here’s what you need to do.
Believe it or not, the “skills” section of your resume is one of the most important. Why? Before a human reviews your resume, an automated filter scans it, and you have to appease the 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 a hiring manager to filter candidates based on specific keywords.
So, first of all, you have to pass this filter before a person will ever consider your qualifications for the job you are applying for.
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You only need to include the hard skills that qualify you for that data engineering role. Eliminate soft skills. For example, saying you have “strong communication skills” is meaningless without context.
There are clearly more technical skills available for data engineers than you might ever have. For this reason, companies only use ATS filters to check hard resume skills. Here are some common ones you can list to get past the keyword filters.
You would never be expected to have all this. Instead, you should demonstrate mastery of several tools and languages, not the breadth of an entire 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 would be comfortable interviewing for. A surefire way to get blacklisted by an employer is if you lie on your resume. Don’t do it; it’s just not worth it. You’ll be much happier doing data engineering work that you’re comfortable with rather than scrambling on day one.
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Make sure your data engineer resume format is attractive to the employer and filtered through automated filters. To that end, here are some quick resume formatting tips:
With your resume format, you should have one simple goal as your north star: to make the reader’s job as easy as possible.
Put yourself in the shoes of someone reviewing hundreds of resumes for a given role. You don’t want to read walls of text that span multiple pages. You want to read something concise that shows why the applicant is a good fit.
When you’re a data engineer with a few years of experience, your education matters less than your work experience.
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Because of this, the education section of your resume will differ if you’re an experienced data engineer versus a college freshman or boot camp.
Don’t waste space with classes you took in school. Since your goal should be to keep your resume to one page, optimize that space as a senior data engineer. Likewise, your GPA won’t make a compelling case for your qualifications once you have a few years of work under your belt.
As an entry-level data engineer, you’ll need to demonstrate your ability to learn new technical skills. What better way than to talk about the hard lessons you’ve learned?
Most data engineers should not include a resume objective on their resume. Why? It goes back to the goal of making your resume one page.
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Most resume objectives state only general information that can otherwise be gleaned by reviewing the rest of your resume.
As a rule of thumb, if you use the same resume objective for multiple job applications, just exclude it.
Looking for a data engineering role where I can use my Python knowledge to transform various data sources into actionable insights for a data-driven organization.
The Data Engineer is looking to leverage my experience 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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A data engineer transitioning from a software engineering career, wants to work with Apple to leverage my experience with ETLs to build products that make it easier for non-coders to build businesses.
You’re a data engineer, so using numbers is the best 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 pushing out 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 help your data engineer perform better than 95 percent of others, quantify the impact of your work.
Numbers are more persuasive than vague statements of achievement. Whenever you can (even if they’re estimates), try to quantify the impact of work done in previous roles.
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No matter where a hiring manager looks at your resume, they should walk away feeling that you deserve a phone interview. The best way to make this kind of 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 related to their careers. How can you do that? Talking about past projects you’ve worked on.
For an entry-level data engineer, everything is important. As long as you absorbed data and made it usable for another party, it’s worth including it on your resume.
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If you don’t have any such projects, now would be a great time to work on them. Here are some project ideas you can include:
It doesn’t matter if the project you worked on matches the role. Hiring managers just want to know that you have the know-how and passion to learn what it takes to become a successful data engineer for entry-level positions.
We know that’s the news you didn’t want to hear. Unfortunately, tailoring your data engineer resume for each job you apply for dramatically improves your chances of getting an interview.
Luckily, only 15 percent of data engineers tailor their resume 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 tailor your resume to the job? Read the job description, duties and qualifications first. Do any projects you’ve worked on come to mind as you read them?
Likewise, does anything come to mind when I read about the company? Even if what you’re thinking of seems like a stretch, it’s worth including on your resume.
Another way to assess is to ask yourself how you can best frame your work experience for the role you are applying for. For example, if you’re applying for a position that’s looking for someone with experience building ETLs from scratch and 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. That was a lot to take in, so here are the basics.
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Do you have this? You’ve taken a big 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 guide you on your way to creating a resume that stands out and will land you a job at a top tech company. In 2020, data engineering emerged as
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