The Ultimate Big Data Engineer Resume Guide

From Here: How to create my resume the right way? What sections are to be included? How to grab the attention of recruiters through the resume?

To Here: Share your resume with us! Your resume has been shortlisted for the Interview! The resume conveys your skills the right way! My resume has helped me to receive multiple calls from Interviewers.

Navigating this journey can be difficult at first if we are not clear on what to include, what needs to be excluded and what can go in as optional. This blog has been written absolutely to serve your needs for your Big Data Resume to help you grab the attention of recruiters organically and increase the chances of your resume getting shortlisted. As one major concern most of us have is, what are the common mistakes to be avoided, how to customize the resume based on our years of experience and how to highlight our skills and work experience. All these questions will be handled in the blog and the differences will be shown clearly.

Let’s get started without further delay !!!

Let’s first have a look at the resume skeleton which we will further break down into different chunks and talk about it in detail.

Now as you see in the above, what are the main sections to be included, let’s dive into each area in detail and understand how to formulate them.

PERSONAL DETAILS:

This section will be at the top of your resume and has elements of your Name, Job Title, Work profiles etc.

1. Name: Write your name in a bigger font and BOLD it up.
2. Job Title: Based on the position/role you are targeting in data engineering you can mention the same role. If you are very conscious about mentioning a “Data Engineering” role you can either mention your actual role or fill it with the below titles:

Microsoft Certified Azure Professional, Databricks Certified Spark Developer, AWS Certified Cloud Architect (Based on the certifications you have done, you can change this title accordingly)

1. Work Profiles: Work profiles showcase your interests, expertise and skills beyond your resume. It’s crucial to know what kind of work profiles to include to have value to the resume. Below are the suggested work profiles you can consider :

LinkedIn, GitHub, Medium/Quora/Reddit and any other online platforms where your work is published.

1. Contact Details:

• EMAIL: Always include a professional mail id (firstName_lastName@anyhost.com) which can become the first point of contact to send the Job/Interview Details.
• Mobile Number: Give a number which is having a good network and is always reachable. You can mention a maximum of 2 contact numbers to reach you.

1. Name: Don’t include any fancy nicknames in the resume. Write the name as exists in your government proofs.
2. Job Title: Avoid the job titles which are contrary to the data engineering roles you are applying for. This can be the first red flag a recruiter notices if you say you have prior experience in Big Data. It’s better NOT to include any job title rather than including a wrong job title.
3. Icons: If you wish to make your resume to be ATS compliant then the usage of icons has to be avoided.
4. Work Profiles: Avoid including social media handles other than LinkedIn. Ex. Instagram, Facebook etc
5. Mobile Number: Avoid having creepy caller tunes or movie dialogues which don’t sound professional.
6. Personal Details: Avoid including details like address, parent names, marital status, and DOB which are not necessary most of the time.

CAREER OBJECTIVE / PROFESSIONAL SUMMARY:

Career objective is used to summarize your career goals, experience and aspirations in a shortened manner. Make use of this short space to express yourself in the best way.

Breakdown:

• Software Professional [how do you address yourself]
• Leveraging the technical expertise to solve real-world problems and build innovative solutions to handle data-intensive pipelines [ what’s your super power]
• That drive data insights for the business by contributing to the top company goals [how your work impacts the organization]
• Having an overall of x years in IT and xx years in Big Data [summary of your experience]
• Expertise in ETL processing, Data Modelling, Pipeline development and Data warehouse management [what are your areas of expertise]

1. Highlight your areas of expertise.
2. Highlight your overall and Big Data experience (Freshers can avoid this)
3. Convey what you bring to the table (your contribution to the role and organization)

1. Avoid talking in terms of the first and second person (“I”, “My”, “Me”, “Mine”)
2. Avoid listing down all your personal traits like hardworking, obedient, polite, etc.
3. Avoid listing down your entire skill set. We have a separate section for it.

PROFESSIONAL SUMMARY:

If you are someone who has> 5 years of experience and wishes to summarize your experience and work in short, this is the section that you need to look at.

You can take reference from the below on how you can have a short write-up summarizing your experience. You can even use this space to list down the various companies you worked at along with the role and years of working.

1. Follow the historical path (how your skills evolved over time. Ex Databases, DWH, ETL, Big Data)
2. Highlight your skills in BOLD which match the job description.
3. Mention your interpersonal skills like team building, client collaboration, etc.
4. Talk about your managerial skills if you got an opportunity to showcase them.

1. Don’t cross the limit of 1 page for this section write-up
2. Avoid highlighting too many keywords which can be noisy.
3. Don’t talk about any projects in specific as it is a summary of your overall work.

Summary

Resume is the most important document that represents your skills, experience and your knowledge. This depicts your expertise in the domain.
Therefore, it is important to spend ample time to carefully position and highlight the important keywords that would make your profile standout. Resume should always be simple yet impactful. Every word needs to be intentionally and naturally placed to seek the attention of the readers and thereby making them conclude that the candidature presented by the Resume is the appropriate fit for the requirement.