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Ultimate Guide to Career in Data Engineering in 2022

Big data is transforming how we operate the business and making a requirement for data engineers who are able to capture and deal with large volumes of data.

Data engineering is the process of designing and creating systems to capture, keep, and analyze data at scale. It is a vast industry with applications in almost every industry. Enterprises can capture large volumes of data, and they require suitable people and the right technology to ensure that it’s in a usable state when it reaches data analysts and scientists.

Learn data engineering and then work as a certified data engineer, this not only makes your life easier but also provides you with the chance to make a real difference in the world, where we most likely begin to produce 463 exabytes daily by 2025. That is 1 and 18 zeros of data bytes. Industries, such as deep learning and machine learning, can’t thrive without data engineers to process and pass that data between systems.  

The Work of a Data Engineer

Data engineers operate in a range of environments to design systems that capture, manage, and transform raw data into usable data for business analysts and data scientists to interpret. Their main aim is to make data easy to access so businesses can utilize it to assess and improve their performance.

Some Basic tasks data engineers perform when working with data:

  • Collect datasets that meet business requirements
  • Develop algorithms to convert data into actionable and valuable information
  • Create, maintain, and test database pipeline architectures
  • work with management to understand business goals
  • design new data validation ways and data analysis equipment
  • ensure compliance with security policies and data governance

Working in smaller organizations mostly means dealing with a greater range of data-based tasks in a generalized position. Some bigger organizations have data engineers committed to creating data pipelines and others dedicated to managing data warehouses–both occupying warehouses with data and designing tables schemas to monitor where data is kept. 

Why Go for a Career in Data Engineering?

A career in this industry can be both challenging and rewarding. You play an essential role in a business’s success, providing easy access to data that decision-makers, data analysts, and scientists require to perform their operations. You depend on your problem-solving and programming skills to make scalable solutions.

Data engineers will remain in demand until there is data to process. Dice insights revealed in 2019 that the most trending career in the industry for technology is data engineering, surpassing web designers, database architects, and computer scientists. LinkedIn listed data engineering as one of the most trending jobs in 2021.  

Data Engineering Salaries

With the growing amount of data, demand for big data experts, such as data scientists, data architects, data analysts, and many more, are increasing as well. Companies such as Google, Facebook, Microsoft, Amazon, and so on are paying high salaries to their big data experts to operate on their customer data. As per Glassdoor, the average compensation of a big data engineer is more than Rs 7lacs in India. 

The way to Become a Data Engineer  

With the correct knowledge and right skill set, you can start or advance a lucrative career in data engineering. A lot of data engineers possess a Bachelor’s certificate in computer science or a similar field. By getting a certificate through data engineering courses, you can create a base of knowledge that you’d require in this rapidly developing field. Consider a degree in Master’s to advance your profession and potentially unlock higher-paying roles. 

Besides getting a certification, various other steps can be taken to prepare yourself for success. 

  • Improving your skills in data engineering:

Learn the basics of cloud computing, database design, and coding skills as a beginning phase for a career as a data engineer.

  • Coding
  • Non-relational and relational databases
  • ETL (extract, transform, and load) systems
  • Scripting and automation
  • Data storage
  • Data security
  • Cloud computing
  • Machine learning
  • Big data tools
  1. Get a Certificate 

A degree can validate your skills and knowledge for potential employers, and preparing for a degree is an exceptional approach to increasing your knowledge and developing your skills. 

  • Create a Portfolio 

A portfolio is often sought as a critical factor in job searches because it shows hiring managers, potential employers, and recruiters what you are capable of.You can include data engineering projects that you have completed on your own or as part of data engineering courses on a portfolio site (using a service, such as Wix or Squarespace).

Or post your work in your LinkedIn profile’s projects section or on a website like GitHub, both of which are free substitutes for a standalone portfolio website. 

  • Begin with an entry-level role

A lot of data engineers start in entry-level positions like database administrator or intelligence analyst. With experience, you get to learn new skills and prepare for more advanced positions.  

After understanding all the reasons for enrolling in data engineering courses, the skills related to it, and big data jobs, you can assume how important it is to incorporate big data into our lives. So, what are you waiting for? Enroll today in Hero Vired’s data engineering program and get to learn from the best industry professionals.     

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