How to Become a Data Engineer
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- Опубликовано: 5 окт 2024
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How to Become a Data Engineer? | Check out the ultimate guide bit.ly/34DPiFj to find out or watch this video. We'll talk about becoming a data engineer, focusing on who the data engineer is, what they do, how much they make, and what education and skills you need to become one.
Who’s the data engineer and what do they do?
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.
Data engineers are the ones to take things further up the data science pipeline. They use the data architects’ work as a steppingstone and then pre-processes 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 data sets. They are also the ones who turn raw data into insights using various tool sets, techniques, and cloud-based platforms.
That said, 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 helps the aspiring data engineer score high on any employer’s recruitment list.
In terms of soft skills, 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!
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So, the UK salary is much lower than in the US .. the cost of living in the UK is much higher than in the US. Conclusion: I choose America big time compare to the UK !
Apologies for any confusion caused. If you're looking to start a career in data engineering, it's important to focus on the core skills and knowledge required for the role. While some data engineering positions may require knowledge of statistics or machine learning, these skills are not typically the primary focus of a data engineering role.
Here are the key skills and knowledge areas that are important for a data engineering career:
1. **Programming Skills**: Strong programming skills are essential, particularly in languages commonly used in data engineering such as Python, Java, or Scala. You should be comfortable with writing efficient and optimized code.
2. **Database Knowledge**: Data engineers need to have a solid understanding of relational databases like MySQL, PostgreSQL, or Oracle, as well as non-relational databases like MongoDB or Apache Cassandra. Learn about database design, querying, and optimization techniques.
3. **Data Warehousing**: Familiarize yourself with data warehousing concepts, including data modeling, ETL (Extract, Transform, Load) processes, and working with tools like Apache Hive, Apache Spark, or Amazon Redshift.
4. **Big Data Technologies**: Gain knowledge of distributed systems and big data technologies such as Apache Hadoop, Apache Kafka, Apache Spark, or Apache Flink. Understand how to process and manage large-scale datasets efficiently.
5. **Data Integration**: Learn about data integration techniques, including data pipelines, data ingestion, and data integration frameworks like Apache Airflow or Apache NiFi. Understand how to integrate data from various sources and ensure data quality and consistency.
6. **Cloud Platforms**: Familiarize yourself with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. Learn how to leverage cloud services for data storage, processing, and deployment.
7. **Data Security**: Understand data security and privacy principles, including encryption, access control, and compliance regulations like GDPR or CCPA. Ensure that you handle sensitive data appropriately and securely.
8. **Data Quality and Testing**: Learn about data quality management and testing methodologies. Understand how to validate and verify data pipelines and ensure the accuracy and reliability of data.
9. **Data Governance**: Gain an understanding of data governance practices, including metadata management, data cataloging, and data lineage. Know how to create and maintain data dictionaries and data documentation.
10. **Communication and Collaboration**: Develop strong communication and collaboration skills, as data engineers often work closely with data scientists, analysts, and other stakeholders. Effective communication and teamwork are crucial for successful data engineering projects.
Remember, the specific skills required for data engineering roles may vary depending on the industry, company, and job requirements. It's always a good idea to research and tailor your learning path to match the specific needs of the roles and organizations you are targeting.
By focusing on these core skills, you'll be well-prepared to start a career in data engineering. Good luck!
Very good explanation.
As a Data Warehouse Engineer myself I kinda disagree with some of the propositions of what a Data Engineer needs to know. If you really have a job which is in Data Engineering and not a one does all (Data Engineer + Data Analyst + Data Scientist) then the most important Skill is SQL, Data Modeling, and depending on the Environment (Python | Java). If you're in a small company you're mostly forced to do a multitude of work. From SQL Server Administration, Data modeling, cleaning up the Data Culture, ETL if you have a Data Warehouse and often times showing the higher ups how to use the BI tool and collaborating with them to get to know which area needs improovements and where the ETL Process needs to be expanded.
Good Explanation !
I agree with you as a data engineer myself
Couldn't agree more
Do you need to be good in math?
nice
6:42 whoever's doing the voicing nailed it -- love the references team !
This is by far the most brilliant ad in selling your education system! Just brilliant.
You forgot to add that you do 80% of the work while the data scientists come in and create one model and get all of the credit. Its like your the offensive line and the scientist is the QB but they never take you out to dinner.
Well .. Yes they can do that .. but me as a Data Engineer .. I always put my name on every single thing I created .. from Excel, Power BI, Power Query, Dax, ETL, anything that I can put my name on. So, they cannot just claim themselves that they did all that by themselves. I will never let my Data Scientist do that to me :-)
Dennis Rodman on the 3-peat bulls.
@@lindafukuyu5767 Smart!🙌🏻
Never knew it could be so interesting to be a data engineer
Iliya Valchanov one would hope you knew that it was interesting given that you are an instructor in this course!!!
did i miss something? $100-125k compared to £30-54k
isn't that a little bit .. giant difference?!?
Thanks for this video,
Some comments though. Being a data engineer myself for the last 7 years, I might say that "Maths and Statistical background" is not necessary to become a DE.
You should have good programming skills, knowledge of various Data technologies. Know how to deploy application (CI/CD Framework) Good communication skills and the ability to learn things fast and mostly on your own. I've studied Business IT, (3 years) and started immediately to work. I learn 80% of what I'm doing today on the job. Also, regarding the salary, In Belgium where I'm from, most data engineers become freelance after about 6-7 years, so they see a big increase in their salary there. But as an employee the video is definitely correct I'd say.
@Mohamed Amin Chairi: How would one become a freelancer as a DE? I work as a DE too at a smaller company. But wouldn't freelancing be a problem in the long run? Because basically you are responsible for crucial infrastructure and if that breaks a few years down the road when the specifications changed the company cant use it anymore without expensive maintenance. So it would be interesting to hear how would one work in this field as a freelancer and on what kind of projects.
@@PrinzBiber when you're freelancing as a data engineer you just sell your skills as a consultant. So I work within a team in an existing company. before that I was a consultant for a bigger company that sent me to their client as a Data engineer to implement stuff , basically for my knowledge. The client was paying that big company I used to work for and the company was paying me my salary. Today, I'm getting paid directly and much more by the client. this is how you should see it. You won't get big assignment or big project that's for sure. You are the product you're selling. It works well in Europe espacially in Belgium bc the taxes are so high, it might not be interesting in other countries.
@@mohamedaminchairi thanks for the clarification and the comprehensive answer. :)
@Mohamed Amin Chairi Hi would you mind suggesting courses or path for becoming data engineer ,as in internet its very overwhelming to pick one
@@b.devendrakumar2360 hi, I found the most valuable learning experiences, my real project on the job. Stackoverflow of course and a lot of curiosity and research. But the last years , since I'm working more and more on cloud technologies, I follow courses on a cloud.guru
Why are UK salaries so bad? I live in Denmark and we have way higher salaries for doing the same job. Insane.
Cost of living in Denmark is much higher than the UK
I am IT guy with 9+ years of experience in C#. I want to change my career path to Data science. can you please guide me about that ?
Ugh Data Engineers in NYC clear $180,00 - $210,000 base plus stock options and 10-20% bonus! In Silicon Valley and at places like Google i have seen north of $300,000 but be minded you are God level programming and skill-sets within more than 8+yrs experience with Petabytes of data on enterprise level software environments being more than just an individual contributor and working to almost influence the designs on the Architects and Executive leadership industry wide!
I have no undergraduate degree related to Software Engineering, Computer Science and Information Technology. I am studying Envi Eng'g, but also taking a course specifically on Data Engineering. What else should I do to make my application strong?
I graduated with a degree in communications last year. After 11 months of self study I got hired as a data engineer. I would say personal projects and writing blog posts helped me a lot. Also, I cannot stress this enough, build connections with people at the companies you want to work at. Good luck
@@jbsc97 what all tools do you use daily?
@@warrenbuffett4564 I would say that would be company specific. Depending on where you work, they’ll have a different tech stack. I use tools like airbyte, snowflake, aws, gcp, prefect and many others
@@jbsc97 how long will it take to mater all these tools?
@@jbsc97 could you please tell your roadmap🙏
Such a great video, 365 team! Looking forward to How to Become a Data Architect!
Me too, ASAP !
I really liked the voice it's very clear and detailed excellent!
The great thing is that its a niche market. You can't really learn this stuff without industry. So if you work in it, chances are you get stuck doing it.
Do you think getting AWS Machine Learning specialist certification will help me find a job as a ML engineer/Data scientist/data engineer?
I have an interview tomorrow for a data engineer position, wish me luck 🤞🍀
£54,000 for those with 5-9 years of experience? No ways. If you take a look at the job boards you’d see that these individuals can command minimum £65,000 easy.
65k is really low, especially in London. I'd say at least 75k.
Which one is better Data scientist or Big data engineer
thank u i learnt everything about data engineer in this videeo
I’m going into my last year of cs.. all I’ve done is make programs for homework and a couple side projects that were pretty basic however, I just really wanna work with data. Idk why. But I’m afraid being in cs coding programs instead of working with data like a data engineer, I haven’t learned? Idk
Hmmmm... the message isn't clear here, but if you'd like to work with more data and practice your machine learning. Try Kaggle it has a lot of databases you can play with to expand your ML skills and make you more competitive in the data world
If you have a general Software engineering background then it's perfect for being a Data Engineer, you just need to know more about stuff depending on the job: ETLs, data pipelines, Data warehousing, Big data, NoSQL, Spark, Kafka etc..
Contrary to what some people believe data science is not the typical coding job, most Software Engineers are better suited to Data Engineering because there is a lot of coding involved, Data scientists are typically statistics majors who dabble with coding, your coding skills do not have to be top notch to be a Data scientist but most of the time for Data engineering it has to be.
I was a Software Engineer for a couple of years before getting a job as a Data Engineer and while you need to know a lot of things, it come much naturally to you because you have the basics.
Guidelines I guess. I create and maintain ETL pipelines andddddddd build gui applications for the end users. So I am a data engineer and business analyst?
Do 365 data science has data engineer career path course?
Would you make a video about Blockchain Engineer?
Hi.What can you advice videos for lawyers?about data lawyer .Thank’s
I'll take this course in uni next month. I'm scared aaaa
Don't be. You'll do great.
I don't know how accurate are the salaries in the UK. Am I the one sensing this?
They are.
So, the UK salary is much lower than in the US .. the cost of living in the UK is much higher than in the US. Conclusion: I choose America big time compare to the UK !
@@lindafukuyu5767 UK has easier living than US. Violence is much lower.
I choose Dubai XD
@@lindafukuyu5767not sure about this
I think it is the reverse, I stand corrected
I remember being a kid who thought it's cool to make 55k pounds a year with 9y experience.
LOL
right .. he UK salary is much lower than in the US .. the cost of living in the UK is much higher than in the US. Conclusion: I choose America big time compare to the UK !
I see your courses, which I'm considering signing up for, but where is Hadoop?
Once Hadoop / Spark / ETL are added, I'm in.
I would like to be a part of the 365 data science family.
amazing video ❤
Hi, can I get to know which software is used to make this animation?
hi what editor you are using for this video and how you are doing this video with ai voice and ppt
So interesting,thanks 365
I like when you compare with Jedi because I love Starwars
Same here 🙃
Sir, Where i can learn to be a data engineer?
One of my favorite channels
Great bro
I thought the data scientist was in the front not the data engineer.
How is £54k a big reward? Still makes you a corporate slave.
Data guy = data entry
that's impossible i korea we start just 25000 dollor
This is absolutely wrong,data science and data engineering is different
You sound like you have braces and glasses. Great video, thanks!
Indian money ??
I'm data engineer 😁
Lame Star Wars references (i hate star wars) , other than that great video!
US salary seems very high though, at least in my experience.
UK SALARY IS TRASH
3:25 salary you are welcome
So, the UK salary is much lower than in the US .. the cost of living in the UK is much higher than in the US. Conclusion: I choose America big time compare to the UK !
У лавы плотность и вязкость другая. Оно бы так не жахнуло, хотя я не эксперт.
I see your video in my RUclips suggestions. I am a coding beginner. I am learning about various coding and similar careers so this career is new to me. And I am a mature (age 35) BSc Accounting and Finance student.
I have just looked on the Internet for a definition. As I am reading, my strengths are organizing and sorting things, as well as researching information; I love doing these things! So this career sounds intriguing to me. Thank you for posting. :)
I have actually started on this online program a couple of weeks ago. So far, I like what I am learning. Thank you.
How's it going, Tara? Did you manage to stick with the dream?