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You're reading from  Cracking the Data Engineering Interview

Product typeBook
Published inNov 2023
PublisherPackt
ISBN-139781837630776
Edition1st Edition
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Authors (2):
Kedeisha Bryan
Kedeisha Bryan
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Kedeisha Bryan

Kedeisha Bryan is a data professional with experience in data analytics, science, and engineering. She has prior experience combining both Six Sigma and analytics to provide data solutions that have impacted policy changes and leadership decisions. She is fluent in tools such as SQL, Python, and Tableau. She is the founder and leader at the Data in Motion Academy, providing personalized skill development, resources, and training at scale to aspiring data professionals across the globe. Her other works include another Packt book in the works and an SQL course for LinkedIn Learning.
Read more about Kedeisha Bryan

Taamir Ransome
Taamir Ransome
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Taamir Ransome

Taamir Ransome is a Data Scientist and Software Engineer. He has experience in building machine learning and artificial intelligence solutions for the US Army. He is also the founder of the Vet Dev Institute, where he currently provides cloud-based data solutions for clients. He holds a master's degree in Analytics from Western Governors University.
Read more about Taamir Ransome

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Building Your Data Engineering Brand on LinkedIn

According to HubSpot, approximately 85% of jobs today are filled through networking. And one of the best online platforms for professional networking is LinkedIn. Now, in the remote working era, platforms such as LinkedIn allow you to connect with valuable people in the data engineering field such as managers, current data engineers, recruiters, and executives. Building rapport and relationships with the aforementioned groups allows you to attract opportunities. Companies need to hire diverse data engineering talent. And when you don’t have any initial connections to the data field, there’s no better way to build your network and facilitate job offers than by building a brand on social media.

While this chapter will focus on LinkedIn, these tips can be applied to other social networking platforms such as Twitter/X. For the sake of simplicity, we will only focus on LinkedIn.

We will cover the following main topics...

Optimizing your LinkedIn profile

Having a well-developed LinkedIn profile can lead to increased visibility to hiring managers and recruiters looking for talent. If recruiters and HR professionals use LinkedIn as their major resource for locating talent, this can increase your visibility. Using LinkedIn to share your skills and ideas with others in your field will also help you stand out as an industry expert and expand your professional network.

In this section, we will examine the profile header, the banner, the About Me section, and the profile photo in greater detail. We’ll review strategies for making the most of these sections and adapting them to your data engineering career goals. You will learn all you need to know to create a stellar LinkedIn profile that will help you stand out as a data engineer, get seen by recruiters, and boost your personal brand.

Your profile header consists of the following main components:

  • Profile picture
  • Banner
  • Headline...

Crafting your About Me section

Your LinkedIn About Me section should serve as a professional autobiography. You can give prospective employers a glimpse into who you are as a person as well as a data engineer by detailing your professional background and accomplishments here.

In the field of data engineering, where many different profiles may appear to have comparable talents and expertise, this part becomes increasingly important. It’s a chance to highlight your individuality and demonstrate why you’re not like every other data engineer out there. This is your opportunity to tell a story about yourself that highlights your technical abilities and accomplishments.

In the next section, we’ll go through some tips for writing an effective About Me section. We’ll talk about how to present your data engineering credentials in a way that stands out from the crowd and makes you an attractive candidate for a job.

Initial writing exercise

First, think...

Developing your brand

Your personal brand is more than just a list of your past employment and skill sets. It’s how you want the world to perceive you, and it’s made up of your individual experiences, values, and objectives. In the highly competitive field, a well-established personal brand can be the determining factor in landing a position. LinkedIn is a must-have resource for any professional serious about building their brand. It gives you many opportunities to network with other professionals and share your unique brand of professionalism. Branding yourself on LinkedIn goes beyond merely having a well-written profile; it also entails sharing your expertise, commenting on relevant posts, and carefully adding connections.

In the next section, we’ll explore several methods for enhancing your brand. You will discover the best practices for maximizing your visibility, from creating content to participating in relevant discussions.

Posting content

In addition...

Summary

In this chapter, we’ve covered the many steps involved in developing your data engineer LinkedIn profile. We began by discussing how to get the most out of your LinkedIn profile by emphasizing the value of a catchy headline, a polished banner, a thoughtful profile image, and an interesting About Me section. Then, we dove into the process of disseminating your expertise via content. We talked about how posting on a frequent basis, writing in-depth articles, and showcasing projects may not only show off your knowledge and skills but also keep you at the front of the minds of your contacts.

Next, we discussed the vital topic of constructing your network, stressing the significance of making contact with the proper professionals, joining the correct communities, actively consuming relevant information, and keeping your relationships alive through consistent communication. Finally, we talked about how to properly use cold messages. Finding and researching possible contacts...

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Published in: Nov 2023Publisher: PacktISBN-13: 9781837630776
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Authors (2)

author image
Kedeisha Bryan

Kedeisha Bryan is a data professional with experience in data analytics, science, and engineering. She has prior experience combining both Six Sigma and analytics to provide data solutions that have impacted policy changes and leadership decisions. She is fluent in tools such as SQL, Python, and Tableau. She is the founder and leader at the Data in Motion Academy, providing personalized skill development, resources, and training at scale to aspiring data professionals across the globe. Her other works include another Packt book in the works and an SQL course for LinkedIn Learning.
Read more about Kedeisha Bryan

author image
Taamir Ransome

Taamir Ransome is a Data Scientist and Software Engineer. He has experience in building machine learning and artificial intelligence solutions for the US Army. He is also the founder of the Vet Dev Institute, where he currently provides cloud-based data solutions for clients. He holds a master's degree in Analytics from Western Governors University.
Read more about Taamir Ransome