Whats the scope of Data Engineering?
Data engineers are professionals working in different environments in order to design and build systems that facilitate the collection, management and conversion of raw data into multipurpose information for business analysts and data scientists to put to use. They ultimately aim at supplying accessible data so that businesses can put it to use for the assessment and improvement of their performance. Apart from making the process of data management a whole lot easier for data scientists, being a data engineer gives professionals the chance to make a considerable difference in the field where the production of as much as 463 exabytes/day will be a possibility by 2025.
Data engineers are crucial for the success of several fields like deep learning, machine leaning etc. These fields will come at a standstill without professional processing an channeling their data for them.
Generally, being employed at a smaller company brings on greater data-based tasks and responsibilities.
Bigger firms usually build data pipelines with the help of data engineers and others manage data warehouses.
Data engineer vs. Data analyst
Data analysts, as the designation suggests, analyze sets of data in other to gather valuable information. Whilst, data engineers design and build particular systems for the collection, validation and preparation of that data. Data engineers collect and modify the data and data analysts utilize that data to make better business decisions.
Data analysts, as the designation suggests, analyze sets of data in other to gather valuable information. Whilst, data engineers design and build particular systems for the collection, validation and preparation of that data. Data engineers collect and modify the data and data analysts utilize that data to make better business decisions.
Scope- Why pursue data engineering?
Having a career in this field is both a boon and bane- as it come with its rewards and challenges alike. Data engineers play a very essential role in the the daily operations and ultimate success of a company. They make data easily accessible for data analysts, scientists and policy makers. They have to rely on their problem solving and programming skills to build scalable solutions.
- Lucrative salaries- Data engineering is a well-paying career. When we compare data engineers to database architects or data analysts, we can see that, data engineers are being compensated generously well for their skills.
- Career path- Data engineering is not necessarily an entry level job. In fact, many data engineers begin their careers by working as business analysts or software engineers initially. As they advance in their careers, they move on to higher designations with managerial responsibilities and duties like solutions architect, data architect or machine learning engineer.
So long as companies have data that needs to be processed, data engineers will always be in demand. Dice Insights in 2019 stated that data engineering is on of the most trending jobs in the tech industry, leaving web designers, computer scientists and database architects behind. LinkedIn listed data engineering as a job on the rise in the year 2021.
If one posses the desired set of knowledge and skills, a promising career in data engineering is a given. Typically, data engineers have a bachelor’s degree in computer science or any other filed that is related. By having a degree in the filed, a certain foundation of knowledge is built. One can even consider a master’s degree in order to take their career to new heights and bag even higher paying jobs.
