Placeholder Image

字幕表 動画を再生する

  • Hi, and welcome to another 365 Data Science special!

  • In this video, well explore one of the top careers in data science.

  • That’s rightwell talk about becoming a data engineer.

  • Youll discover who the data engineer is, what they do, how much they make, and what

  • education and skills you need to become one.

  • But before we get started

  • We’d like to mention something else weve put together! – a very comprehensive data

  • science training.

  • The 365 Data Science program contains the full set of data science courses you need

  • to develop the entire skillset for the job.

  • It’s completely beginner-friendly.

  • For example, if you don’t have any maths or statistics knowledge, well teach you

  • that first.

  • And if you’d like to build a more specialized skillset, you can do that with courses on

  • Time Series Analysis, Credit Risk Modeling and more.

  • If you’d like to explore this further or enroll using a 20% discount, there’s a link

  • in the description you can check out.

  • Alright.

  • Let’s talk about the data engineer and everything you need to know about that career path.

  • First things firstdata engineer is just one of the most coveted data science job roles

  • out there, so keep in mind the other options, too:

  • data analyst; BI analyst;

  • data engineer; data architect;

  • and, of course, data scientist.

  • Well post a video just like this one for each of these career pathsif youre

  • interested, be sure to check them out.

  • So, who’s the data engineer, and more importantly, what sets them apart from everybody else?

  • Data engineers are the Jedi Knights of data science.

  • They rely on a blend of analysis, wisdom, experience, and judgment to make key decisions

  • for a company’s success.

  • A data engineer is a self-starter who is inspired to complete more than your usual number of

  • tasks.

  • What does that mean?

  • Data engineers are the ones to take things further up the data science pipeline.

  • They use the data architectswork as a steppingstone and then preprocesses the available

  • data.

  • These are the people who ensure the data is clean and organized and ready for the analysts

  • to take over.

  • Data engineers also implement complex, large scale big data projects with a focus on collecting,

  • managing, analyzing and visualizing large datasets.

  • All that massive amount of overwhelming raw data?

  • Well, they are the ones turning it into insights using various toolsets, techniques, and cloud-based

  • platforms.

  • You might think that’s enough work for one day?

  • Not for the data engineer.

  • Data engineers are also responsible for building and maintaining ETL pipelines which make crucial

  • data accessible for the entire company.

  • And when they get a minute, they lend a helping hand to BI analysts by designing and supporting

  • BI platforms.

  • Who makes sure all big data applications are available (and performing properly)?

  • Again, data engineers.

  • And, to top it all off, they are great team-players.

  • A data engineer knows how to actively collaborate with data scientists and executives to build

  • solutions and platforms that meet, or even exceed a company’s business needs.

  • So how does all this responsibility translate into the data engineer salary?

  • We asked Glassdoor and PayScale to give you a good answer.

  • In the U.S., the average pay for a data engineer who’s just getting started in his career

  • is $103,000.

  • Of course, once you hit the 4-6 yearsexperience mark, you can expect your compensation to

  • rise to $117,000 (plus, youll be eligible for additional bonuses in the region of $10,000).

  • Looking for a data engineer job in the UK?

  • According to Payscale research, even if you have less than 1-year experience, you can

  • get average pay of £30,000 (this includes bonuses and overtime pay).

  • Naturally, with experience comes a higher salary.

  • A data engineer with 1-4 years of experience earns an average total compensation of £41,000.

  • And it only gets better!

  • Once you have 5-9 years of experience, your annual pay can hit £54,000.

  • Big data, big rewards!

  • But what does it take to become a data engineer?

  • The data engineer path is one of the best choices you can make if youre driven to

  • succeed in data science.

  • But what if youre new to the field and youre not sure youve got what it takes

  • to get there?

  • Don’t worry.

  • Here are the steps that will lead you to a data engineer career.

  • Let’s consider education first.

  • What academic background do you need to become a data engineer?

  • Obviously, a degree in software engineering, computer science, or information technology

  • will give you a flying start.

  • However, if that’s not the case, you can still make the cut.

  • But you still need skills in computer programming and software design, statistical modeling

  • and regression analysis, Python, SQL, and Machine learning.

  • Now, before you rush into writing off your dream job, you should know that acquiring

  • these skills is absolutely possible, even for complete beginners.

  • Today, there are plenty of qualification programs and online certificate data science trainings.

  • Once you complete the courses and gain experience with real-world exercises and projects, you

  • will have the skills, confidence, and the portfolio to apply for a data engineer position.

  • Nextlet’s talk about skills and qualifications.

  • What do you need in this department to become a data engineer?

  • Well, as we mentioned, a data engineer job comes with certain (many) responsibilities.

  • So, here’s a list of competencies and skills you need to become a data engineer who knows

  • their stuff.

  • Technical skills

  • For a data engineer, knowledge of data modeling for both data warehousing and Big Data is

  • a must, along with experience in the Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive,

  • etc.).

  • Of course, the ability to write, analyze, and debug SQL queries will help you score

  • high on any employer’s recruitment list.

  • One more hintmake sure you gain some experience with at least one scripting language,

  • for examplePython.

  • And don’t forget the basicsMathematics is never out of style in the data science

  • competitive universe!

  • How about practical skills?

  • Nothing unusual, if you ask us.

  • That is, of course, considering you have the Jedi powers of data engineers.

  • So, young Padawans, focus on these you should, if to succeed as data engineers you want.

  • Hone your data visualization skills (make Tableau or PowerBI your best friend);

  • Analytical skills; Ability to make sound decisions, even

  • in the absence of complete information; You must make sure you follow through

  • on commitments and make sure others do the same;

  • Personal responsibility for decisions, actions, and failures;

  • Establishment of clear processes for monitoring work and measuring results;

  • Design of feedback loops into work; Strong attention to detail;

  • Ability to think critically and conceptually.

  • But it’s not all about what you know.

  • Soft skills are just as important, so

  • Youll need to develop very strong communication skills in a variety of communication settings.

  • That means more than a meet-and-greet in one-on-one meetings, and small and large groups gatherings

  • among diverse styles and position levels.

  • Okay!

  • Now you know what it’s like to be a data engineer and how to get there!

  • However, better preparation means higher chances of success, so if you feel like you still

  • need additional career advice and a more detailed analysis of the career opportunities in data

  • sciencewe wrote a very long article about this, and the link is in the description,

  • if you want to learn more.

  • Thanks for watching and best of luck on your journey towards data science!

  • In the meantime, if you liked this video, don’t forget to hit the like button, share

  • it with your friends, and subscribe to our channel!

Hi, and welcome to another 365 Data Science special!

字幕と単語

ワンタップで英和辞典検索 単語をクリックすると、意味が表示されます

B1 中級

2020年にデータエンジニアになる方法 (How to Become a Data Engineer in 2020)

  • 4 0
    林宜悉 に公開 2021 年 01 月 14 日
動画の中の単語