Top 5 Reasons To Become A Data Engineer
Are you planning to enrol for AWS Data Engineering Online Training and Certification Course? You have made a great decision, as future is all about data. With the growing digital transformation the demand of data engineers have increased manifolds.
“Over the next five years up to 2025, global data creation is projected to grow to more than 180 zettabytes.” – IDC/Statista
The massive amount of data generated every minutes needs to be managed and transformed into insights that are further used to produce technologies to drive digital transformation and how to leverage the rapidly growing data, both from a marketing standpoint and how we build solutions, strategies and products for the customers. This is one of the reasons, why data engineers are so much in demand. Allow me to share few reasons why you should consider becoming a data engineer.
Reasons to become a data engineer:
Data Engineering is the foundation of data science
Data engineers stand on the front line of the entire data strategy. They are the ones who first receive unstructured and structured data; filter, clean and direct data towards data analysis team. They don’t just refine the data, but also block the ones that can cause harm to work done by data analysis and data science team members. They make sure that the data pipeline is well built, instead of feeding incomplete data to other team members. It won’t be wrong to say that data analysts and data scientists rely on data engineers to get desired outcomes of data strategies.
Data Engineering will never be out of trend
As per the Dice 2020 Tech Job Report, data engineers are the most popular and the fastest-growing tech job, displaying 50% growth every year. Hence, it won’t be wrong to say that data engineering is one of the hottest career paths to go for. It is all because of the on-going digital transformation and production of unimaginable volumes and types of data, managing data has become more complicated, which further complicates the task of data scientists whose job is to make sense of all the data. This is where data engineers come to rescue as they are the ones who ensure data’s security, quality, and availability for Data Scientists to be able to efficiently perform their jobs.
Industries require date engineers
With business and customers producing and using data to perform various operations, the emphasis of insights and analysis have shifted to maintaining data. With time, companies have realised that maintaining data needs as much attention as generating insights from the gathered data, which has led to the growing demand of data engineers in almost every industry; and the demand will keep on growing for years to come. Some of the industries that heavily rely on data engineers are e-commerce industry, healthcare, pharmaceutical, telecommunication and internet industry.
Data Engineering comes with solid pay
In StackOverflow’s developer surveys, Data engineering skills is listed among the highest-paying skills. And at the time of this writing, there are around 70,000 results for the search term Data Scientist on LinkedIn, and around 112,500 results for the search term Data Engineer. The demand for data engineers only keeps increasing. A report by DICE has shown 88% increase in demand of data engineers in year 2019. That’s not all: “The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in” 2019. – says Statista. Long story short, Data engineering is the foundation of everything, machine learning, data science, AI comes second.
Data Engineering is base for other attractive career paths
If you do not want to become a data engineer, but work in data science; having knowledge of data engineering can help you in better data analyst or a data scientist. Your data engineering skills will help you look things in a new way, allowing to gain different perspective and insights. You also better understand all the process that has to be done before the data makes to data pipeline and be efficient enough to resolve issues without having to wait for data engineers to work on it. You will be able to better coordinate with the team of data engineers and promote better collaboration among team members.
Now that you have understood, why data engineering appeals to many young professionals, we would suggest you to enroll for certain brand specific data engineering training courses like, AWS Data Engineering Online Training and Certification Course from Multisoft Virtual Academy.
Why you should consider enrolling AWS Data Engineering Online Training and Certification Course from Multisoft Virtual Academy?
Multisoft Virtual Academy has been in training industry for more than 2 decades and backed by a team of global subject matter experts from around the world. When you enroll for AWS Data Engineering Online Training and Certification Course from Multisoft, you get the opportunity to learn from experienced industry experts and gain experience and skills with hands-on experience from projects and assignments based on real-life examples. All the courses offered by Multisoft come with perks like lifetime access to e-learning material, recorded training session videos and after training support. The courses are delivered in live instructor led, one-on-one and corporate training sessions, where after successful completion of the AWS Data Engineering Online Training , aspirants receive a globally recognized training certificate to validate and showcase their learning and skills to employers across the world.
Conclusion: AWS is the market leader in cloud computing services, and there is a huge demand of AWS data engineers in the market. Enrolling for AWS Data Engineering corporate Online Training from Multisoft Virtual Academy will help you gain in-depth knowledge in Big data engineering in AWS, AWS Cloud Architecture Design Principles; how to analyse and transform massive quantities of data and much more.
