


A data engineer is someone who is responsible for maintaining the data architecture of a particular data science project. It is very important for a data engineer to ensure that there is no interruption in the flow of data between applications and servers. They tend to maintain and build the data pipelines and warehousing big data in a way that it can be accessible later on also. It is an infrastructure which is very crucial in all aspects of data science. The engineer’s constructs, develops, tests and also maintains the architecture which includes a large-scale processing system as well as the databases. This dataset builds by them are used in verification, acquisition, modeling, and mining.









How Is A Data Scientist Different From A Data Engineer?




Whereas Data engineer is someone who maintains and builds data architectures and structures for data processing, and deployment of data-intensive applications that work on a large scale. Some of the tasks of a data engineer are building of a pipeline of data storage and collection and funneling these data to the data scientist in order to put those models into productions.



Skills Required To Become A Data Engineer


It is very crucial for a data engineer to be comfortable with a huge range of programming languages and technologies. As they are keen to change constantly, so when we talk about the data engineer one of the most important skill they need to possess is for them to have the knowledge as to when to employ which language and why.


These are the skills that a data engineer needs to possess:


•    Data Mining and Modeling

•    Machine Learning

•    Designing and Building large scale applications


•    Regression analysis and Statistical Modeling

•    Operating Systems like Linux, UNIX, and Solaris

•    Hadoop Based Analytics

•    Data warehousing and architecture

•    Data based solution languages like Cassandra, SQL, and Bigtable






Step 1: Undergraduate degree


The first step to becoming a data engineer is to get masters in IT, computer science or software engineering with courses in computer programming, software design, data structure, management, and architecture.


Step 2: Entry level job experience


Go for IT assistant positions at a small company or at college to get entry into a career of data engineer. Also, make sure to sharpen your skills in software designing and computer programming as it is required to be very fluent in the programming languages is important for one’s career. As one gain experience, they begin to solve the real problems by building a data system and choosing public data sets. These skills are important to prove how eligible one is as an engineer.


Step 3: First Job as a Data Engineer




Step 4: Professional Certificates


Always make sure to get professional certifications to ensure reference. One of the well-known certificates is offered by Institute of Certifed Computer Professionals (ICCP) as the Certified Data Management Professional (CDMP) which can be obtained at the master or practitioner level. Some other certifications are IBM Certified Data Engineer, Google’s Certified Professional in Data Engineering, and Microsoft Certified Solutions Expert.


Step 5: Pursuing A Higher Degree


As one grows in the field of data engineering, they might also feel the need to go for masters in computer engineering and computer science in order to boost their CV. Though data engineering is not restricted t data science and also there are people who have even succeeded without an advanced degree, only with their skills of programming and designing.


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