Ways Data Learning Advances a Data Engineer’s Career

Today’s most successful businesses–Amazon, Apple, Facebook, Google, Microsoft, Netflix, Tesla, and more–were all built by data-obsessed technology pioneers who know no limits. 

  • For Amazon, Facebook, and Google, their user data is the envy of advertisers worldwide. 
  • At Netflix, data about who watches what helps define a standard of programming quality.  
  • At Tesla, the data it gathers optimizes electric vehicle battery consumption.
  • At Apple and Microsoft, data spanning over 40 years of innovation keeps their products on the leading edge.
  • …and the list goes on.  

As a data engineer, you know all about data, so that’s a great start. But what about the “no-limits” part of the success formula?  Are you advancing like a technology high-flier, or do you feel your career is losing steam?

If having a spectacular career is your objective, here are three ways you can use data learning to accelerate your progress. 

1. Build Your Machine Learning Resume 

Does it seem like artificial intelligence and machine learning (AI/ML) are everywhere? A 2020 Deloitte survey found that 67% of companies are using machine learning, and 97% are planning to use it in the next year.  Additional studies published by analyst firms such as Gartner and IDC, and consultancies such as McKinsey and Accenture, showcase accelerated AI/ML adoption in every industry worldwide. Subsequently, job postings on Monster and LinkedIn confirm this explosive demand. 

Within the next two or three years, many experts predict that AI/ML experience will move from a data engineering nice-to-have to a must-have. How can you get that experience in your current position so you can advance to your next one?

Given that data learning is a subclass of machine learning, using it will demonstrate a machine learning expertise that you can highlight on your resume. 

2. Take Your Cloud Skills to the Next Level

According to the latest forecast from Gartner, Worldwide end-user spending on public cloud services is forecasted to grow 23.1% in 2021 and at least another 20% in 2022.  To advance your career as the cloud’s share of IT expenditures increases, you must demonstrate data engineering success in cloud environments.

Data learning was born in the cloud to solve the query performance problems inherent in that environment. Using it to address extreme-scale cloud data volume and workload challenges will demonstrate the modern cloud data engineering skills required to advance your career.  

3. Prove Your Work is of High Value 

As a data engineer, you help provide data essential for business success. But often, your hard work goes unseen because others turn that data into insight, which drives actions that ultimately result in business value. It is not that your work isn’t valuable; it is just hidden from leadership’s view and consequently overlooked when it is time to discuss your compensation and promotion. 

If you use Keebo’s data learning platform, you can prove your value to leadership in five ways:

  • Deliver Business Value Sooner
  • Increase Data Engineering Productivity
  • Empower Your Business Analysts
  • Lower the Cost of Maintaining Existing Data Products
  • Reduce Cloud Compute Costs

Turbocharge Your Career with Data Learning

Now is the time for data-obsessed, no-limits technologists. If you want to learn more about data learning and how it can help you turbocharge your data engineering career, request a free trial here

See how Keebo Data Learning helps Team Velocity data staff move ahead.