What are the Skills Required for a Data Engineer?

Data really powers everything we do and big data is the foundation of all megatrends happening. Data is information on which operations can be performed by a computer and may be stored and are transmitted by taking the form of electrical signals and are recorded by different media.

The large diverse set of information that is growing exponentially with time is big data. This data is huge in volume and it is so large that it cannot be stored or processed efficiently by traditional data management. The demand for analytics is going up steadily. Big data analytics is being considered a ‘Hot’ job but there are many unfilled jobs in the world due to a lack of required skills. If one wants to become a data engineer they can take big data courses online to improve their skills and get a good job.

The Growing Importance of Big Data

Big data is the large volume of structured and unstructured data by which a business is inundated on a day-to-day basis. But what matters the most is what organizations do with the data not the amount of data they have. For better performance, the companies are using big data which has become common these days. For competition and innovation, existing competitors and new entrants in most industries will use the strategies resulting from analyzed data.

In the field of IT, big data analytics is indeed a revolution. Big Data uses the techniques of analyses like data mining, machine learning, statistics, and natural language processing. Big Data helps us to perform multiple operations at a single platform. Tbs of data can be stored, analyzed, pre-processed, and visualized with the help of big data tools.

The main reasons why big data is important are:


  • Reduction of cost: Tools like Hadoop and cloud-based analytics bring cost advantages while storing large amounts of data.
  • Decision-making: Ability to analyze new sources of data and the speed of Hadoop and cloud-based analytics helps in the immediate analysis of information making quick decisions based on their learnings.
  • The driver of product development and innovation: Big data is very much helpful for the companies in product innovations and redevelopment.


Who is a Data Engineer?

Data engineers find trends in data sets and develop algorithms to make raw data more useful to the enterprise. They create and maintain the environment which will allow operation of almost every other function in the data world. They develop, maintain, build, and test architectures such as processing systems and databases. They can be called as the gatekeepers of the chain of data production and they even make sure it runs smoothly.

They can understand many programming languages like Java, Python, and R which are used in data science. They can also use distributed systems like Hadoop. This wide knowledge helps them to work with database administrators, data architects, and data scientists. Their responsibility towards an organization may include building a robust, integrated data infrastructure. Pipelines are created by data engineers to connect data from one system to another. They transform data from one format to another for the data scientists to analyze by pulling data from different systems.

What are the Skills Required To Become a Data Engineer?

Data engineers play a vital role in organizations as they ingest, store, and transform data by creating and maintaining databases and pipelines. They should acquire a variety of skills related to databases, operating systems, and programming languages. Ultimately, the development of knowledge is a never-ending process during your career. With expertise in certain topics and programming languages you also need to be expert at looking up information.

Data engineers should have knowledge of scripting languages such as SQL, Python, and R for troubleshooting and improving the database systems. The benefit will also be received if Data Engineers have the knowledge of Java, NoSQL, Julia, Scala, etc. They should have knowledge of working with a wide variety of data platforms.

Data engineers should comfortably be able to use ETL (extract, transform, load) systems. These systems tools help you to extract, transform, and load data into data warehouses. They should have knowledge of using ETL solutions to help to transform and migrate data from one storage system to another.

After the extraction of information from various business systems, preparation of the information is needed for its integration with the warehouse system and it is done by data engineers. They should have knowledge of setting up a cloud-based data warehouse. They should have a good knowledge of data pipelines in order to develop essential data pathways connecting various information systems.

The extraction of data from different sources is known as data ingestion. When the extraction takes place, the data engineer has to pay attention to the protocols and the formats applying to this situation. After the data has been stored, Data scientists establish connections between information sources, and data engineers must have the knowledge of this process for supporting data scientists in their jobs. Data engineers should also get familiar with operating systems like UNIX, Solaris, and LINUX.

How can a Big Data Course Help?

As we know the requirement of data science professionals is increasing with time in every industry, Big data courses can help the candidates enhance their career path. The number of job postings is increasing in this field but the supplies are low. So. learning big data can give many job opportunities along with a chance to get a 50% more salary than the other IT professionals. Big data is a vast field that is not going to fade away in the future. Thus it can be expected that the career made in it will be the long run. Taking an online big data course can help in the recruitment of individuals in top companies like Facebook, Google, Microsoft, Amazon, etc. These courses easily fit into one’s busy schedule and they can complete at their own pace. They can learn from industry experts and gain practical knowledge through industry projects and integrated labs. So, take your career ahead with a big data course today! 

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