Edureka

AUGUST 29, 2024

For small companies, the data engineer holds a generalist position where he basically does all it. Sometimes, students with a computer science background also prefer data engineer course to improve their skills specifically in the niche and get jobs quickly. Pursue a bachelor’s degree in computer science or related field.

Data Engineering 40

Data Engineering Data Engineer Engineering Generalist 40

AltexSoft

FEBRUARY 11, 2023

Data architect career path To become a data architect one should obtain a bachelor or a master’s degree in computer science, data science, information technologies, or related fields. Also, they must have in-depth knowledge of data processing languages like Python, Scala, or SQL.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JUNE 20, 2023

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.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 28, 2023

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

SEPTEMBER 6, 2023

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. Apache Spark and Scala Training Apache Spark and Scala is a wonderful course to master Apache Spark using Scala with related advanced techniques.

Big Data 52

Big Data Certification Hadoop Kafka 52

Dataquest

JANUARY 25, 2017

Data engineering skills A data engineer needs to be good at: Architecting distributed systems Creating reliable pipelines Combining data sources Architecting data stores Collaborating with data science teams and building the right solutions for them Note that we didn’t mention any tools above.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

FEBRUARY 27, 2023

Engineers work with Data Scientists to help make the most of the data they collect and have deep knowledge of distributed systems and computer science. A data engineer can be a generalist, pipeline-centric, or database-centric. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52