Top Data Engineering Job Descriptions In The Industry
The world. today, is the world of data. Data is growing all around us rapidly which concerns the necessity of storing, transforming, transportation of these data.
The demand of data engineers is growing rapidly to make these large amounts of data usable, and store them securely. To make the raw data accessible as well as usable, data engineers create analyze model and present them in a comprehensive format.
This article will introduce you with data engineering and its aspects, demand of data engineers. You will learn about the data engineering job descriptions and also how to become a data engineer.
What is Data Engineering?
Data engineering is the process of collecting, managing, converting raw data into a usable format so that business analysts and data scientists can access, process, analyze data easily and optimize organization’s performance. In short, data engineering is the process of creating mechanism and interfaces for the information flow and access.
Data engineering is so broad that it may come with multiple titles data analysis, data mining, data visualization, machine learning, AI data analysis, database administration etc.
Data engineers work to construct, develop, test and maintain architecture of data storage as well as database, manage data alongside data scientists, distribute data, data warehouse, and create and develop database table schemas. Deploying sophisticated program to analyze data, deploying machine learning along with statistical methods are also role of a data engineer.
Data Engineer vs Data Scientists
Data engineer and data scientists both work with data but still they have some difference. Data engineers are the builder of the system where data scientists work. Data engineers build and maintain the system or pipeline which allows the data scientists to access and analyze the data.
Data engineering is the infrastructural engineering of data storage where data science is the statistics and analysis of the stored data.
Data engineers work with big data storage and processing, data pipelines, model ETL where data scientists work based on computer programing, machine learning and algorithms, and statistics and linear algebra.
Now you can imagine a clear concept of responsibilities of data engineering vs data scientists.
Demand of Data Engineering
Is data engineering a good job? You will find answer of this question by the end of this section.
At present, with the digitalization of the world, importance of data engineer is increasing. It has been essential to have a data engineer for business, marketing, education, research, everywhere.
Big companies like, Facebook, Amazon, Apple, Netflix, Google (known as FAANG) are dealing with huge amount of data every day. So, data engineer has become indispensable for them to access, process analyze and use the big amount of data.
According to Glassdoor, the average salary of a data engineer in USA is around $111,044. In Asia, the average salary of a data engineer is around $36974.
Top Data Engineering Job Descriptions
In this section we will discuss about some of the big 5 companies or the FAANG companies and their data engineering job description.
Facebook Data Engineering Job Description
Facebook maintains one of the biggest repositories of data. To execute the processing and accessing the big data they hire data engineers often. Following is what the job description of a Data engineer and Facebook looks like.
Facebook Job Description
Amazon Data Engineering Job Description
Amazon is one of the largest business companies dealing with millions of products and clients. Everyday there are millions of entries of data. To handle these huge amounts of data there is always notice for recruitment on their board. Look at their data engineering job description:
Amazon Job Description
Apple Data Engineering Job Description
Apple is one of the tech giants in the modern world. Who hasn’t heard the name of Apple? They reserve millions terabyte of data of their clients. You may often find recruitment notice on their job board.
Apple Job Description
Netflix Data Engineering Job Description
Netflix is the largest store of movie and web-series. This is the biggest giant of entertainment world. Thousands of movies, songs and series are stored in their storage and to execute these big data they often hire data engineers in their team.
Netflix Job Description
Google Data Engineering Job Description
It doesn’t need to describe the necessity of data engineer at google. This giant hires data engineers all over the world. Job description of one of the posts of data engineer be like:
Google Job Description Become a Data Engineer ————————–
What are the skills required for data engineer? If you want to become a data engineer you must need a bachelor’s degree on Computer Science and Engineering, Software Engineering, Applied Mathematics, Physics or a related field.
Beside you need to have some specialized data engineering skills like some programming knowledge and database scripting languages. You can find data engineering courses at ML Academy. Explore ML Academy courses to earn expertism with certification in data engineering.
You need a strong programming skill as you have to write scripts and codes. It cannot be stressed enough how important to have a strong programming background for being a data engineer. You must have an expertise on Python, and R.
SQL is a must to become a data engineer as it is the scripting language to store, access, process and ingestion of data.
A data engineer needs to be good at:
- Architecting distributed systems
- Creating reliable pipelines
- Combining data sources
- Architecting data stores
- Collaborating with data science teams and building the right solutions for them
If you want to build a great career in data engineering, the way for you-
- Earn a bachelor degree on computer science or related field
- Work on some data engineering project
- Analyze your computer engineering and big data skill
- Get an entry level job of data engineering
- Earn some professional certification on big data
- Pursue a higher degree on computer engineering, data science or related field
Conclusion
Data engineering has created a revolution of job opportunities. Big five recruits for hundreds of positions of data engineering every year in different countries. With the growth of clients as well as business, amount of data increases rapidly which need to process, access and use.
As lots of companies are opening across the world, data engineer’s demand is growing. If you are a computer engineering graduate with strong programing skill you can make a great career in data engineering. Read the data engineering job description, acquire the data engineering skills and lift up your career with data engineering.