How to Become a Data Engineer

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!

365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.

We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.

#HowToBecomeADataEngineer #DataEngineer #DataScience

[criblaj]

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!

[matthiasoberleitner]

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.

[SimonaDobreva]

6:42 whoever's doing the voicing nailed it -- love the references team !

[roshunepp]

This is by far the most brilliant ad in selling your education system! Just brilliant.

[mohamedaminchairi]

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.

[johnmac]

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.

[iliyavalchanov]

Never knew it could be so interesting to be a data engineer

[TheyCalledMeT]

did i miss something? $100-125k compared to £30-54k
isn't that a little bit .. giant difference?!?

[TrapHeroes]

I have an interview tomorrow for a data engineer position, wish me luck 🤞🍀

[mrvinaygupta]

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 ?

[dholland]

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.

[BlaknWild]

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!

[martateneva]

Such a great video, 365 team! Looking forward to How to Become a Data Architect!

[bez]

Why are UK salaries so bad? I live in Denmark and we have way higher salaries for doing the same job. Insane.

[shrutijain]

Do 365 data science has data engineer career path course?

[vishwanathm]

hi what editor you are using for this video and how you are doing this video with ai voice and ppt

[rban]

Do you think getting AWS Machine Learning specialist certification will help me find a job as a ML engineer/Data scientist/data engineer?

[laysam]

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?

[AmmuAlpha]

I really liked the voice it's very clear and detailed excellent!

[Justforfun-lmio]

Which one is better Data scientist or Big data engineer