In recent years Big data has undergone a paradigm shift. As a result of these job roles like data scientists and data, the engineer has gained a reputation in the market. This article, we will talk about data engineer as a career path
Who is a data engineer?
Data engineers are the ones responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the organizations.
To perform these tasks this one needs to have a deep knowledge of SQL database design and few programming languages. Along with this data engineers also need communication skills to work across departments to understand what business leaders want to gain from the organization’s large datasets.
Data engineers help in building algorithms to help give easier access to raw data. To do this they need to understand the company’s or client’s objectives.
Data engineers are responsible to prepare data for analytics users.
They also build data pipelines so as to pull the required information together from different sources.
Data engineers make data secure and accessible for data scientists as raw data contains a lot of errors.
Data Engineer Roles and Responsibilities
Data Engineers has to lay down the foundation for the database
They also create a robust architecture as per the requirements.
They carry out testing to identify any performance issues. The primary role of a data engineer is to maintain the database and ensure that it works smoothly without causing any disruption.
For your information data science and data, engineering is different job roles as a data science certification does not train you for a career as a data engineer. You can say that data science is more math-oriented whereas data engineers on the technical side and building data pipelines
A data engineer has to work in a team along with its data warehouse engineer
data platform engineer, data infrastructure engineer, analytics engineer, and a data architect.
Here is a list of Data Engineer Roles and Responsibilities
Work on Data Architecture
Data engineer to plan create and maintain data architectures as per business requirements
Obtaining data from sources is the primary work a data engineer has to perform.
After collecting data from various sources data engineers store optimized data.
Research needs to be done in order to solve any issue that can arise while tackling a business problem.
Keep Improving Skills
It’s the sole responsibility of data engineer to keep updated with machine learning and its algorithms like the random forest, decision tree, k-means, and others
How to Become a Data Engineer?
To make a successful career in data engineering you need to know concepts of computer science along with Applied Mathematics. It is always suggested to have a bachelor’s degree in computer science
Along with this, you should be well familiar with Python, Java, and SQL.
After getting your basics on programming languages and other computer science concepts, it’s always better to do a certification course in data engineering. Many students prefer to learn online either on Coursera or Udacity. Udacity is one of the best in the industry as the data engineer nanodegree is totally worth it.
According to Glassdoor, the average salary for a data engineer in the USA ranges from $110,000 to $155,000 depending on the job requirement. Getting a certification course increases your chances of getting hired as a data engineer.