article thumbnail

15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Java Big Data requires you to be proficient in multiple programming languages, and besides Python and Scala, Java is another popular language that you should be proficient in. Kafka, which is written in Scala and Java, helps you scale your performance in today’s data-driven and disruptive enterprises.

article thumbnail

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

AltexSoft

This specialist supervises data engineers’ work and thus, must be closely familiar with a wide range of data-related technologies like SQL/NoSQL databases, ETL/ELT tools, and so on. Also, they must have in-depth knowledge of data processing languages like Python, Scala, or SQL.

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. Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing.

article thumbnail

Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming 18. Cost: $400 USD 4.

article thumbnail

How to Become a Data Engineer in 2024?

Knowledge Hut

Generalists They are typically responsible for every step of the data processing, starting from managing and making analysis and are usually part of small data-focused teams or small companies. NoSQL is a distributed data storage that is becoming increasingly popular. They are also accountable for communicating data trends.