Merge pull request #77 from DataTalksClub/podcast-improvements-seo

Small fix of YAML of the podcast

Author: kavaivaleri

_podcast/s08e06-recruiting-data-engineers.md

@@ -41,7 +41,6 @@ topics:
 - career growth
 transcript:
 - header: Episode Opening & Guest Welcome
-- header: Episode Opening & Guest Welcome
 - line: This week, we'll talk about recruiting data engineers. We have a special guest
     today Nicolas. Nicolas is a technical recruiter who is hiring for a wide variety
     of engineering and AI roles. He worked for many years as an in-house recruiter
@@ -54,7 +53,6 @@ transcript:
   time: '1:12'
   who: Nicolas
 - header: Guest Background and Career Path
-- header: Guest Background and Career Path
 - line: Before we go into our main topic of recruiting data engineers, let's start
     with your background. Can you tell us about your career journey so far?
   sec: 75
@@ -86,7 +84,6 @@ transcript:
   time: '3:10'
   who: Alexey
 - header: Onfido Role & European Hiring Footprint
-- header: Onfido Role & European Hiring Footprint
 - line: We have the UK. Then we are hiring in France, Portugal, Netherlands and Germany.
     Maybe more soon, we hope.
   sec: 192
@@ -99,7 +96,6 @@ transcript:
   time: '3:26'
   who: Alexey
 - header: 'Roles Recruited: Data, ML & Research Spectrum'
-- header: 'Roles Recruited: Data, ML & Research Spectrum'
 - line: Yeah. For now, we are hiring for mostly I would say, intermediate to senior
     levels in terms of profiles. Literally I have a bit of everything. I do hire backend,
     frontends, I do DevOps, I do security engineering, I do research. I also work
@@ -111,7 +107,6 @@ transcript:
   time: '3:40'
   who: Nicolas
 - header: European Tech Market Differences
-- header: European Tech Market Differences
 - line: You mentioned that you are looking for candidates in four countries – the
     UK, France, Portugal and Germany. I'm wondering how different are the candidates
     that you find in these countries and processes? Is it the same or different? Did
@@ -136,7 +131,6 @@ transcript:
   time: '6:02'
   who: Alexey
 - header: Borderless Recruitment and Competition Dynamics
-- header: Borderless Recruitment and Competition Dynamics
 - line: Yeah, but it depends. Because now you have companies hiring across different
     countries, you have less and less borders, especially in Europe. In the end, for
     example, when you hire within the EU, whether you hire for example, in Germany,
@@ -147,13 +141,12 @@ transcript:
   time: '6:15'
   who: Nicolas
 - header: 'Episode Focus: Why Data Engineering Matters Now'
-- header: 'Episode Focus: Why Data Engineering Matters Now'
-- line: Okay. Interesting. Actually, the reason I reached out to you a couple of weeks
+- line: 'Okay. Interesting. Actually, the reason I reached out to you a couple of weeks
     ago and invited you to this podcast is because we had a different podcast episode
     that was about hiring data professionals – where we talked to Alicia, who was
     a guest here – but we mostly talked about data scientists. Then some people reached
-    out to me saying, “Hey, that was a cool episode, but we want to hear more about
-    data engineers." So here we go.
+    out to me saying, "Hey, that was a cool episode, but we want to hear more about
+    data engineers." So here we go.'
   sec: 419
   time: '6:59'
   who: Alexey
@@ -202,8 +195,7 @@ transcript:
   time: '7:48'
   who: Nicolas
 - header: Data Science Misconceptions and Data Quality Dependence
-- header: Data Science Misconceptions and Data Quality Dependence
-- line: I think data science was quite commonly romanticized like, “This is the perfect
+- line: I think data science was quite commonly romanticized like, "This is the perfect
     job where all you do is machine learning.”
   sec: 666
   time: '11:06'
@@ -235,7 +227,6 @@ transcript:
   time: '12:27'
   who: Nicolas
 - header: Rising Demand for Data Engineering and Modern Tooling
-- header: Rising Demand for Data Engineering and Modern Tooling
 - line: Have you observed a spike of interest in data engineering roles recently?
     I am judging from the blog posts that I see on the internet. For a year, maybe
     a bit longer, I've seen posts on Hacker News, and in general, Reddit and on social
@@ -268,7 +259,6 @@ transcript:
   time: '13:50'
   who: Nicolas
 - header: 'Recruiter Technical Literacy: Big-Picture Knowledge'
-- header: 'Recruiter Technical Literacy: Big-Picture Knowledge'
 - line: I'm wondering, as a recruiter who recruits for data engineering roles, and
     in general, for technical roles – how much of this stuff do you need to know?
     You seem to know quite a lot already, because we're talking about quite technical
@@ -303,7 +293,6 @@ transcript:
   time: '16:37'
   who: Nicolas
 - header: 'Hiring Challenges: Titles, Experience Mismatch, Demand'
-- header: 'Hiring Challenges: Titles, Experience Mismatch, Demand'
 - line: In your opinion, what are the main difficulties? What are the main challenges
     of hiring data engineers?
   sec: 1127
@@ -329,7 +318,6 @@ transcript:
   time: '18:56'
   who: Nicolas
 - header: Evaluating Transferable Experience from Software/BI Roles
-- header: Evaluating Transferable Experience from Software/BI Roles
 - line: I imagine that you get a bunch of applications – or you reach out to a bunch
     of people – who do not yet have the title of data engineer in their portfolio,
     like a data scientist, BI engineer, software engineer. It seems like they're doing
@@ -359,7 +347,6 @@ transcript:
   time: '21:26'
   who: Nicolas
 - header: 'Expectations by Level: Junior → Senior Responsibilities'
-- header: 'Expectations by Level: Junior → Senior Responsibilities'
 - line: Do you think there are a lot of differences between hiring junior data engineers,
     middle level data engineers, and senior engineers? [cross-talk]
   sec: 1375
@@ -408,7 +395,6 @@ transcript:
   time: '25:53'
   who: Alexey
 - header: Typical Interview Process and Level-Based Assessments
-- header: Typical Interview Process and Level-Based Assessments
 - line: Yeah. So the goal in the recruitment process – you have a framework. The process
     is the same but, of course, you do not expect the same whether you're talking
     to a junior or a senior engineer. For junior candidates, yes. What I've seen in
@@ -454,7 +440,6 @@ transcript:
   time: '26:38'
   who: Nicolas
 - header: 'Career Switchers: Internships, Projects, and Focused Skills'
-- header: 'Career Switchers: Internships, Projects, and Focused Skills'
 - line: There is a related question. We talked about different levels – talking about
     people who are switching to data engineering. What do you look for in these people?
     I think you did mention one thing – for people who are just starting their career
@@ -466,8 +451,7 @@ transcript:
   time: '30:39'
   who: Alexey
 - header: 'Resume Essentials: SQL, Python, Problems & Outcomes'
-- header: 'Resume Essentials: SQL, Python, Problems & Outcomes'
-- line: Yeah, exactly. There’s several things. First, I would say that it helps a
+- line: Yeah, exactly. There's several things. First, I would say that it helps a
     lot if you have done internships, for example. That's a good way to start. Now,
     there are a lot of online trainings coming up in resumes, whether it's on their
     own, with different technologies – the basics and data engineering use cases.
@@ -507,7 +491,6 @@ transcript:
   time: '31:16'
   who: Nicolas
 - header: 'Transition Strategy: Team Structure and Role Selection'
-- header: 'Transition Strategy: Team Structure and Role Selection'
 - line: Yeah, so speaking of titles, you just mentioned that you don't really care
     about them. But I imagine that right now, many data scientists, many software
     engineers, BI engineers, data analysts, see this interest in data engineering
@@ -560,7 +543,6 @@ transcript:
   time: '36:01'
   who: Nicolas
 - header: 'Cloud Fundamentals: Tool-Agnostic Conceptual Knowledge'
-- header: 'Cloud Fundamentals: Tool-Agnostic Conceptual Knowledge'
 - line: How important is it for data engineers to know cloud tools like AWS, Google
     Cloud Platform, and others? Most of the jobs, at least from what I see in Berlin,
     require that to some extent. For the rest of Europe, is that also what you see?
@@ -589,7 +571,6 @@ transcript:
   time: '40:06'
   who: Nicolas
 - header: 'Infrastructure & DevOps Skills: When They Matter'
-- header: 'Infrastructure & DevOps Skills: When They Matter'
 - line: Then the question goes on, "How important is it to know infrastructure tools?"
     By this, I think they mean tools like Kubernetes or setting up databases, or whatever
     we use for data pipelines, like Kubernetes, Terraform. Is it something you also
@@ -626,7 +607,6 @@ transcript:
   time: '43:57'
   who: Nicolas
 - header: 'Interview Prep: Research Company and Explain Projects Clearly'
-- header: 'Interview Prep: Research Company and Explain Projects Clearly'
 - line: Yeah. Another question, "What would you recommend that job applicants do before
     talking to a recruiter or a hiring manager?"
   sec: 2675
@@ -674,7 +654,6 @@ transcript:
   time: '47:43'
   who: Alexey
 - header: Targeted Applications vs. Spray-and-Pray Approach
-- header: Targeted Applications vs. Spray-and-Pray Approach
 - line: Exactly. I always ask this question. [laughs] I always ask, "What do you know
     about the company? Just tell me everything that you know, and if there's something
     that is not true. Then I will complete the gap and give you more details.” Because
@@ -711,7 +690,6 @@ transcript:
   time: '49:37'
   who: Nicolas
 - header: 'Hiring Without Degrees: Skills, Projects, Continuous Learning'
-- header: 'Hiring Without Degrees: Skills, Projects, Continuous Learning'
 - line: What would you say about people without a formal computer science degree?
     Would you hire somebody without a formal degree, but someone that has a set of
     data engineering projects?
@@ -761,7 +739,6 @@ transcript:
   time: '53:19'
   who: Nicolas
 - header: 'Standout Project Examples: First Pipelines & Privacy Work'
-- header: 'Standout Project Examples: First Pipelines & Privacy Work'
 - line: So, you mentioned projects like 10 times by now. Do you maybe remember some
     of the projects that really stood out, where you thought "Wow! Cool! This candidate
     is definitely passing my screen into the next step."
@@ -780,7 +757,6 @@ transcript:
   time: '54:41'
   who: Nicolas
 - header: 'Portfolio & GitHub: Shareable Work and Storytelling'
-- header: 'Portfolio & GitHub: Shareable Work and Storytelling'
 - line: So it's not about the portfolio. It's not about your public GitHub profile
     with all the projects you’ve worked on – it's more about what projects you can
     talk about to the recruiter and explain it concisely in a way that any non-technical
@@ -813,7 +789,6 @@ transcript:
   time: '56:22'
   who: Nicolas
 - header: 'Industry Fit: Domain Knowledge for Regulated Data'
-- header: 'Industry Fit: Domain Knowledge for Regulated Data'
 - line: There is a question from Dan. The question is about switching from one industry
     to another. I'm wondering, do you actually look at the industry where the candidate
     works in? Or do you care mostly about "Okay, this person is already a data engineer
@@ -859,8 +834,7 @@ transcript:
   time: '59:59'
   who: Nicolas
 - header: 'Follow-up Resources: Webinars and Further Reading'
-- header: 'Follow-up Resources: Webinars and Further Reading'
-- line: '[laughs] I’m the one who should be doing this. So thanks a lot for doing
+- line: '[laughs] I''m the one who should be doing this. So thanks a lot for doing
     that.'
   sec: 3659
   time: '1:00:59'
@@ -881,7 +855,6 @@ transcript:
   time: '1:01:34'
   who: Nicolas
 - header: Episode Close and Final Tips
-- header: Episode Close and Final Tips
 - line: Yeah, for everyone who is going to have Easter holidays – enjoy your holidays.
     Yeah, it was nice talking to you. Thanks, everyone for tuning in, for asking questions.
     That was amazing. Have a great rest of your day.
@@ -1006,7 +979,7 @@ quotableClips:
 - name: Episode Close and Final Tips
   startOffset: 3698
   url: https://www.youtube.com/watch?v=hylxiu4VGTo&t=3698
-  endOffset: 3665
+  endOffset: 3712
 ---
 Links: