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How to make a Data Engineer Resume?

As a Data Engineer Professional, you need to transform data into an uncomplicated format that can be analyzed without any demanding challenges.

Likewise, to create the perfect job-winning data engineer resume, you need to highlight all your professional skills and experience in the most effective way.

Doing this will encourage a recruiter to recognize you as the ideal candidate.

By the end of this blog, you will have a clear idea of the following points:

You can also refer to other data related resumes listed below for reference:

Data Analyst Resume
Big Data Resume
Entry Level Data Science Resume

Role of a Data Engineer


Data engineers work like magicians with raw data by turning them into formats and algorithms that can be used largely by data scientists.

They professionally identify the trends in data sets to make them more useful for enterprises to enhance their systems for processing information.

In simple words, data engineers provide an efficient and reliable database to organizations with the use of both functional and technical data engineer skills.

Data engineers are in high demand around the world and make a good deal of salary as professionals based on the geographical areas.

Data-Engineer-Salary-Statistics

SOURCE: Career Foundry

Pick the Right Data Engineer Resume Format


It is a known fact that most recruiters and employers use the Applicant Tracking System during the hiring process to pick the most suitable applicant.

Hence you must pick the right resume format that can help you create an ATS-friendly resume to highlight your most significant skills and professional potential.

Data-Engineer-Resume-Formats

The most distinct data engineer resume formats are described below:

  • Reverse-Chronological: This format is preferred by most professionals and hence it can be considered as the best resume format to create your resume. The most recent and relevant professional experience is listed upfront which makes it recruiter-friendly. It also gives you a higher chance to be recognized by the recruiters as it is ATS-friendly.

  • Functional: Though this format is not the best kind, job-hoppers, and people looking for a change in their field of work, can use this resume format. It has its benefits in some ways or others. But you should try to avoid using it if you have a clear career trajectory without any hiccups.

  • Combination: Use this format only if you have 15-20 years of extensive work experience to highlight in your data engineer resumes. It gives both your data engineer skills and experience equal importance in this format.

Include the Right Sections to Organize Your Data Engineer Resume


You need to know which sections to include in your senior data engineer resume.

Every section in a resume helps you communicate your details in a distinct way that can help you create a job-winning resume.

The standard sections given below should be included in your data engineer resume content sections at all times:

  • Header
  • Personal Information
  • Profile Title
  • Summary/Objective
  • Key Skills
  • Professional Experience
  • Education

Whereas, the sections listed below are optional and hence you can include them only when deemed necessary to enhance your junior big data engineer resume:

  • Certifications (if any)
  • Additional Information (if any)
  • Awards & Recognitions (if any)

Data-Engineer-Resume-Sections

Also read: How many sections should be there in a resume?.

Start by Framing Your Data Engineer Resume Header

Many job-seekers write "CV" or "Resume" at the top of their resumes and we are here to tell you that it is unnecessary to state the obvious.

Instead, you should save precious space on your junior data engineer resume and stick to writing your name as the resume header.

The topmost part of your sr. data science engineer resume should highlight your name and label your resume to maintain its unique identity.

It makes it easier for the recruiters to track your big data engineer resume and keeps you apart from the rest of the average resumes.

Leave a single space between your first and last name and use the largest font in the range of 16-20 font size to write your name.

If you have a middle name, write only the initial of your middle name followed by a period and leave it between your first and last name.

An ideal Data Engineer Resume Header Sample:

Data-Engineer-Resume-Header

Data Engineer Resume: Personal Information

For any likely shortlist, the recruiters need to get in touch with you so you need to provide your personal details as per the hiring guidelines.

Data-Engineer-Resume-Contact-Details

The details mentioned below need to be provided in an ideal resume:

  • Contact Number: Provide your active contact number that is functional through which the recruiters can conveniently get in touch with you. Some recruiters may even want to interview you over the phone so you need to be prepared.
  • Email Address: Email is another convenient means through which the recruiters can get in touch with you. Make sure to provide an official email address that has your real name.
  • Current Location: Do not mention your home address or any other personal address. Simply mention your current city and state if you are looking for a job in your country of residence. But if you are willing to relocate outside your country, mention your state and country.
  • Website Links: You can add links to your profiles on either Kaggle, GitHub, LinkedIn, or any professional profiles on a relevant website. It will allow the recruiters to view your portfolio.

You can also mention the following details as per your discretion:

  • LinkedIn profile link
  • Link to an online portfolio

Do Read: How to leverage the contact information section?.

Senior Data Engineer Resume Sample for Personal Information Section:

Data-Engineer-Resume-Personal-Information

Data Engineer Resume: Profile Title

After the resume header, the second-largest text in your junior data engineer resume should be used to curate your profile title on a resume. You can use a 14-16 font size.

It should accurately communicate your current designation, functional industry, and the seniority level of your profession.

Do not be tempted to exaggerate your profile title, because it can affect your job application negatively.

Provide an accurate profile title that best describes your professional expertise whether you are writing an sr. data science engineer resume, junior big data engineer resume, or entry level data engineer resume.

Data Engineer Resume Example for Profile Title Section:

Data-Engineer-Resume-Profile-Title

Draft a Flawless Professional Experience Section


The professional experience section tends to take up most space of a resume. Hence you should curate this section effectively.

To communicate your most relevant work experience and any job profile to the recruiters, you need to describe them in detail while making sure that it is easy to read and comprehend.

Doing so can raise your chances of being shortlisted by recruiters for the targeted job profile.

Data-Engineer-Resume-Work-Experience-Tips

You need to apply the following factors to curate impressive points:

  • STAR Format
  • Frame Points
  • Grouping & Highlighting

STAR FORMAT

Using the STAR format can help you to describe the details of your work in the most effective.

STAR can help you describe the following points to the recruiters:

  • S: The situation, backdrop, or context of your contributions.
  • T: The actual task that was assigned to you.
  • A: The strategy you put into action to execute the assigned task.
  • R: The result or outcome of your action in the form of an achievement figure.

ONE-LINERS

The recruiters would not recognize you as a suitable applicant for the targeted job profile unless you communicate your professional expertise in your senior data engineer resume.

No matter how experienced you are or how qualified you are, only the best data engineer resume can project you effectively.

Let us compare two sets of data engineer resume examples that we have given below to help you understand the importance of framing your points and how they can be implemented.

AVOID THIS:

Data Engineer Resume Example 1

" As a professional data engineer, I performed a constructive data analysis for troubleshooting any data-related issues. I am experienced in successfully evaluating multiple open-source including vendor tools for data lineage. During my employment as a data engineer for the XYZ Company, I ensured the data storage to meet business requirements as per the existing industry standards. Another achievement that I have stashed under my belt is that I have built streaming services for processing the real-time of 1m users by deploying both Java and Scala. I have successfully accelerated the performance of SQL queries by 15% for the weekly CRM summary data."

PRACTICE THIS:

Data Engineer Resume Example 2

  • Performed constructive data analysis for troubleshooting any data-related issues
  • Evaluated multiple open-source including vendor tools for data lineage
  • Ensured the data storage to meet business requirements as per the industry standards
  • Built streaming services for processing the real-time of 1m users deploying both Java and Scala
  • Accelerated performance of SQL queries by 15% for the weekly CRM summary data

Framing Points: Analysis

From the above-given data engineer resume examples, we can say that framed points are easier to read and more effective than writing a paragraph.

Here are the reasons why:

PARAGRAPHONE-LINERS
Hard to pick the highlights of your career in a paragraph
Your work statements stand out
Vague words that may overshadow your potential
Easier to recognize your potential

So it is wise for you to write one-liner points as it is more effective than paragraphs. It gives more focus on your professional potential and helps you avoid mentioning unnecessary details.

You can check out the ready to use 1-liner bullet points for the work experience section of your data engineer resumes:

Data Engineer Resume Bullet Points

GROUPING & HIGHLIGHTING

Framed points are clear to read but if you want to enhance them you need to apply grouping and highlighting.

Look at the two data engineer resume examples give below to know how they can be implemented in your senior data engineer resume:

LESS IMPACT:

Data Engineer Resume Example 1

  • Generated scalable data pipelines and built API integrations to support data volume
  • Helped in providing API's and performed the development of middle-tier application
  • Collaborated with the analytics team to enhance business intelligence tools
  • Implemented 2+ processes to monitor data quality and ensured accurate production data by 100%

HIGH IMPACT:

Data Engineer Resume Example 2

API Integration Building & Automation

  • Generated scalable data pipelines and built API integrations to support data volume
  • Helped in providing API's and performed the development of middle-tier application development

Framework Designing & Automation

  • Collaborated with the analytics team to enhance business intelligence tools
  • Implemented 2+ processes to monitor data quality and ensured accurate production data by 100%

Grouping & Highlighting: Analysis

The two Data Engineer resume examples provided above shows us that:

ONE-LINERSGROUPING & HIGHLIGHTING
Highlight of your career is not standing out
Effectively communicate your work experience
Not enough to distinguish your rolesEmphasizes the impact of your contributions

Always frame one-liners under suitable groups and bold the highlights of your career to make your junior data engineer resume stand out.

Do Read: Tips for crafting the perfect professional experience section.

Data Engineer Resume Sample for Professional Experience

It is always better to have a visual understanding so here is a data engineer resume sample showcasing what an ideal professional experience section should look like:

Data-Engineer-Resume-Professional-Experience

Data Engineer Resume Keywords

As mentioned earlier, ranking high on the ATS (Applicant Tracking System) is an important part of the hiring process.

Your job description should go hand in hand with the keywords mentioned in the job listing.

The ATS captures those resumes that are keyword optimized so make sure that you pick the most suitable keywords from your one-liners and highlight them wherever necessary.

Suitable keywords can be mentioned in your data engineer resume summary and key data engineer skills section.

Highlighting the right data engineer resume keywords can help you rank high on the ATS and increase your chance of being shortlisted by recruiters.

Provide the Details of Your Education in a Data Engineer Resume


With the competition in the job world, only the best of the best gets shortlisted by the recruiters.

Keep yourself on top by listing the details of your educational qualification to add value to your professional experience.

Mention your educational qualification to make the recruiters recognize you as a suitable applicant for the data engineering job profile.

Provide the following details of your educational qualification:

  • Name of the school/university you have attended.
  • Name of the courses you have pursued.
  • The location of your school/university.
  • Enrollment and graduation dates in the month & year format.

Senior Data Engineer Sample for Education Section:

Data-Engineer-Resume-Education

Data Engineer Resume: Certifications

Being a certified data engineer can give you a higher chance of being shortlisted by the recruiters.

It validates the fact that you are eligible to practice your line of work.

The certification section of your junior data engineer resume for data engineer should consist of the following:

  • Certification course name.
  • Name of the institute of affiliation.
  • Location of the institute of affiliation.
  • Enrollment and completion date of the course in the month & year format.

Also Read: What role does certification section play in a resume?

Data Engineer Resume Sample for Certifications Section:

Data-Engineer-Resume-Certifications

Highlight Your Data Engineer Resume Skills


You can make a huge impact on the recruiters by creating a data engineer skills resume.

The key skills section can not only help you highlight your skills but also help in making your data engineer skills resume rank high on the ATS.

Go through your professional experience section and pick those skills that have been justified in your one-liners. Once you decide what to pick, align your data engineer skills on a separate "Key Skills" section.

Doing so will make sure that the recruiters recognize you as a suitable applicant who can the targeted job profile with the relevant data engineer skills that you possess.

You can also rank high on the ATS because this is an effective section wherein you can make use of suitable keywords that are mentioned in the job description by the recruiters.

Here is a data engineer resume sample illustrating the perfect key skills section of a data engineer resume for ATS:

Data-Engineer-Resume-Key-Skills

Conclude Your Data Engineer Resume with a Suitable Summary/Objective

Data Engineer Resume Summary


A data engineer resume summary can communicate your professional achievements and contributions to the recruiters in the most effective way.

You need to work on this section at the end because that way you can mention all the important points while avoiding unnecessary points that are not required to be added.

The resume summary should be included in a resume only if you are an experienced professional with more than 3 years of work experience.

Maintain a 3-5 line limit while composing your data engineer resume summary because the whole point is to keep it short and specific. Also, try to add suitable keywords related to the targeted job profile.

Refer to our sample resume data engineer attached below to see how an ideal resume summary is composed:

Data-Engineer-Resume-Summary

Data Engineer Resume Objective

Including a resume objective in your junior big data engineer resume if you are a fresher with no or fewer than 3 years of work experience is the best way to give an overview of your data analytics engineer resume.

A resume for beginner data engineer can be made complete by composing a suitable resume data engineer resume objective.

It can help you highlight the value that you can contribute to an organization and reflect on the skills that you possess rather than the experience that you lack.

A data engineer resume objective should be included if you are writing an entry level data engineer resume or a resume for junior data engineer.

Data Engineer Resume FAQs

How to include certification on Data Engineer resume?

It is important to add certifications to the data engineer resume since it validates your expertise.

Mention the certification course name, affiliated institute, date of enrollment or expiry along with the location of the affiliated institute.

How to highlight relevant experience in data engineer resume?

Use the grouping and highlighting method to highlight the relevant keywords and information in your professional experience section.

Doing so will attract the recruiter's attention to your experience section.

Data Engineer Sample Resume


Before going any further, let us give you an insight into what an ideal data engineer resume template should look like:

8+ years experienced Certified Data Engineer adept at building & maintaining analytics infrastructure and developing & testing architecture for data generation. Highly skilled in creating data set processes, maintaining scalable data pipelines, building API integrations, and accelerating performance if ETL processes. Proficient in fulfilling 99% client’s requirements with 100% quality assurance.
Data Pipeline Management API IntegrationData ModellingApplication DevelopmentCost Reduction
Process ImplementationFramework DesigningSoftware DevelopmentBackup & Recovery
Installation & UpgradationTroubleshootingPerformance ImprovementManual TestingAutomation
Report GenerationDocumentation
Languages: SQL, Linux shell, Java, Python, C++, HTML5, Scala, and JavaScript
Data Warehousing Tools: Teradata, Redshift
Hadoop Analytics Tools: HBase, Hive, MapReduce, Apache Spark
Operating Systems: UNIX, Linus
PROFESSIONAL EXPERIENCE
API Integration Building & Automation
  • Generated & maintained scalable data pipelines and built new API integrations to support data volume & complexity
  • Helped the development group by providing API's and performed middle-tier application development
Framework Designing & Automation
  • Collaborated with the analytics and business teams to improve data models for business intelligence tools
  • Increased data accessibility by 7% and reduced cost by 15%
  • Implemented 3+ processes & systems to monitor data quality and ensured production data is 100% accurate
  • Developed framework, metrics and generated 3+ reports on a monthly basis to measure & evaluate the progress
Data Analysis & Open Source Development
  • Performed data analysis required for troubleshooting data-related issues and assisted in the resolution of data issues
  • Conceived & evaluated multiple open source and vendor tools for data lineage
  • Ensured that the data storage and collection systems meet business requirements along with the industry standards
ETL Processing
  • Built streaming services for real-time processing of 1 million users by deploying Java and Scala
  • Accelerated performance of existing ETL processes and SQL queries by 17% for weekly CRM summary data
End-to-End Software Development
  • Managed the software development lifecycle and monitored system performance; improved team's efficiency by 27%
  • Improved operations by 20% by conducting systems analysis and recommending changes in policies & procedures
Software Testing
  • Tested 40+ new software, fixed 500+ bugs & developed information systems by designing & installing software solutions
  • Analyzed data to effectively coordinate the installation of new systems or modifying the existing systems
Client Relationship Management
  • Interacted with 25+ major clients and cross-functional departments to communicate project statuses & proposals
  • Created innovative solutions to develop & execute project plans (40+ projects) to achieve 100% client satisfaction
Software Engineer | Mar '12 - Mar '14
Application Designing
  • Designed, coded, tested and implemented configuration changes and aided in the designing of 5+ software applications
  • Supported the technical design process by participating in the analysis of technical application requirements
Debugging & Documentation
  • Executed conversion plans, documented possible improvements and presented the same to the senior management
  • Assisted the team in fixing 100+ minor bugs and monitored the technical performance of internal systems
  • Google Data Engineer Certification | Google | Mar '16
  • CIW Web Development Professional Certification | CIW | Mar '14
EDUCATION
  • GPA: 4.5/5.0

Key Takeaways

  • The trajectory of your career should meet the requirements of your job application and to achieve that you need to use the right resume format.
  • Write your name at the topmost part of your data center engineer resume and label it for the recruiters to keep easy track of your resume.
  • Provide your contact details as per the hiring guidelines and mention an accurate profile title to communicate the level of your professional status.
  • Describe your work experience in one-liner points and list them under unique groups.
  • To rank high on the ATS, optimize your data center network engineer resume with suitable keywords, and raise the chances of being shortlisted by the recruiters.

Make the best use of all the data engineer resume examples and every data engineer resume sample that we have provided in this blog to write the best resume.
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