Remove Data Collection Remove Generalist Remove Java Remove NoSQL
article thumbnail

15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

As a Data Engineer, you must: Work with the uninterrupted flow of data between your server and your application. Work closely with software engineers and data scientists. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

article thumbnail

Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

Proficiency in programming languages Even though in most cases data architects don’t have to code themselves, proficiency in several popular programming languages is a must. To effectively communicate with data scientists, data architects have to understand the key data science concepts such as data modeling, data analysis, ML framework etc.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

?Data Engineer vs Machine Learning Engineer: What to Choose?

Knowledge Hut

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. Additionally, they create and test the systems necessary to gather and process data for predictive modelling.

article thumbnail

How to Become a Data Engineer in 2024?

Knowledge Hut

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.