Data Engineering Jobs During Covid 19 Pandemic

Are you wondering about the Data Engineering Jobs during COVID-19?

You’re at the right place. This article will help you understand the Covid-19 impact on the Data Engineering job market.

Remember the work-life before things went downhill in 2020?

Probably not.

The old way of living seems like a blur when you look back at it.

The Covid-19 pandemic has brought the economies of the world to a standstill. It has caused unprecedented havoc and disturbed the supply chains and functioning of businesses.

The ‘new normal’ has mandated many organizations to change the way they provide their services.

There have been many pandemics before Coronavirus, and we can’t deny the fact that there might be more in the future.

However, the use of technology has allowed us to navigate our way through this pandemic by updating us about the virus spread in real-time and has also helped various sectors get their presence online.

All credits go to the massive datasets, analytical methods, and advanced computation that have enabled us to leverage the technologies in a way that humans have never seen before!

To survive and thrive in the market, all the businesses, irrespective of their sectors, have used technologies to innovate the way they process customer requests. Undoubtedly this shift towards digitalization has highlighted the importance of Data for all the organizations yet again.

What is the impact on Data Engineering jobs?

To implement any new Data Science strategy in a company, a data engineer is responsible for designing, building, and maintaining the infrastructure, build ETL pipelines for the data scientist to work on it. 

With the boost in healthcare data and all the sectors shifting towards digitalization, data generation has quadrupled.

This sudden increase in data has shed newfound importance on the role of Data engineers and has spiked up the Data Engineering Jobs during COVID-19.

It wouldn’t prove wrong to say that Data Engineering is a field that is immune to the recession.

According to the survey conducted by Burtch Works in collaboration with the International Institute for Analytics (IIA), the Data Scientist and the Analytics team have increased their hiring during the pandemic.

On the other hand, 42.1% report that there have been no layoffs, salary cutting, or freezes due to Covid-19.

To bring Data Science into action, Data Engineers are of utmost importance. Thus, even during peak times, Data Engineering remains a lucrative career option.

The biggies of Tech, Amazon, Apple, Facebook, Google, and Microsoft are aggressively hiring new talents and creating new opportunities.

The economic recovery may give birth to the fourth industrial revolution, which focuses on advanced technologies.

Microsoft estimates that the global workforce can give rise to more than 149 million new technology-oriented jobs.

Here’s a look at the stats from the Microsoft Blog. 

There’s a massive demand for Data Engineering Jobs during COVID-19. If you are looking for the opportunity to enter Data Engineering, there’s no better hour.

How to find Data Engineering jobs amidst or post Covid-19?

You will need to understand the evolving nature of Data Engineering jobs during the pandemic and hone your skills accordingly.

Data Engineering is a vast field, and if you are looking for a new position or want to be ready for the job market, get acquainted with the tools and skills that are in demand.

To stay on track and build your profile, we suggest you follow the KCE procedure.

The K stands for Knowledge. Understand the domain and learn about the roles and responsibilities that come under each title.

The C stands for Certification. Once you decode the required skills, build them up through various courses and training. Certification adds value to your profile and makes job hunting a lot easier.

The E stands for Expertise. Practical knowledge and experience are the backbones of landing any job. Take up internships and project opportunities, as they will help you in building your analytical skills and applying theoretical concepts to real-world problems.

Since the demand for Data Engineers has increased, it is not difficult to find jobs in Data Engineering. Platforms like LinkedIn have over 15,000+ job vacancies for Data Engineers.

Thus, stay aware of the evolving nature of the domain and the uncertain times we are facing. Upskill yourself with the appropriate skillset and be prepared to power through every opportunity that comes your way.