More and more data is constantly being generated day and night. Approximately 2.5 quintillion bytes of data are created every day, and shockingly 90% of the world’s data to date, has been created in the last two years alone. It is expected that the volume of data will double every two years. By 2025, there will be 175 zettabytes of data in the global datasphere.
With that being said, there’s a visible increase in demand for IT professionals who know how to collect, organize, and analyze this amount of data.
The need for big data professionals has never been higher. “Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn,” Forbes proclaims. Many IT professionals are building high-salary careers working with big data.
These days, nearly every business strategy has to include having a Data plan and a team of qualified professionals who can deal with Data. To help companies make better decisions, enhance customer engagement, improve customer conversion and retention.
Data analysis is becoming irreplaceable in a business setting, as it provides insights about customers, competitors, and business operations. However, data analysts can only get so far without a data engineer.
Being a data engineer is a highly technical position that combines knowledge and skills of computer science, engineering, and databases.
Data Engineers are essentially the construction workers in the Data field, they create reliable and efficient data feeds, build pipelines, supervise and assure the smooth running of the data, its distribution, storage, and accessibility. The key ability of a skilled data engineer is to determine which tools to use for the job. In general, a qualified data engineer needs to know over 30 different technologies to work efficiently. Besides the essential knowledge of several programming languages used in data science, such as Java, Python, they are also well knowledgeable in the following:
Businesses have moved even more online since March last year, due to the effects of the pandemic, and so data is the driving force behind everything these days.
Are you a tech industry professional and want to take a deeper dive into Data as a Data Engineer, what steps shall you take? What are the key skills and responsibilities taken that make a great Data Engineer?
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According to Glassdoor, the average salary for a data engineer is $137,776 per year, with a reported salary range of $110,000 to $155,000 depending on skills, experience and location, while Senior data engineers earn an average of $172,603 per year, with a reported salary range of $152,000 to $194,000.
To run a successful business in 2021, and moving forward – having a data team and outlined advanced data plans tailored to your business strategy is essential to succeed and outperform your competitors. Helping in understanding your customer better, having a deep knowledge of your audience, and an ability to deliver the best bespoke service possible is the role of a data engineer within your company.
Looking for Data Professionals for your company and don’t know where to start?
Get in touch with SeaData today to receive a free consultation on how to accommodate your business needs.
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