Data Engineer (m/f/d). A competency profile.
Updated: May 9, 2021
The competency profile validates your domain expertise in data. It recognizes you as a Senior practitioner or advances your career to the Senior level.
By practitioners, for practitioners - this service is provided by AI Guild members recognized for their expertise.
Here is the example of a Data Engineer.
Promit Ray crossed over from a Computational Ph.D. to data engineering, using his skill set to identify use cases suitable for productionization. The interesting combination, in this case, is the STEM Ph.D., the computational skills, the data experience, and the ML skills.
What do you see in the competency profile?
This data engineering profile shows breadth highly relevant to business decision-making. Data Engineering is the focus of all tasks, driving forward a company builder. The particular strength is
Engineering solutions for data analytics with Python and SQL
Visualizing patterns for business decisions
Complementary skills lie in infrastructure management (supporting analytics) and machine learning (supporting use case selection).
Focus: What is in and what has been left out?
The experienced practitioner may infer that the profile is indicative of a smaller team, hence the wider range of tasks.
Yet, I think the profile shows focus. For all companies, and especially startups, the most important task is identifying use cases suitable for machine learning and then choosing wisely which to productionize.
Where is his #datacareer headed?
Business-oriented data engineering is a promising career path. It is more than just data engineering with a focus on data and pipelines because its practice is driven by considerations for business development, revenue, and cost. I expect him to proceed on an accelerated career path.
How to get your competency profile?
Are you in Year 2, 3, or 4 of your #datacareer? Would you like to find out how you efficiently show and develop your expertise? It takes 60 days to complete the competency profile. All you need to do to start is point us to your LinkedIn or GitHub profile (or similar) here.