Rajat Garg

While both are involved in data, respectively a Data Engineer works towards organizing and processing data, while a Data Scientist applies the processed data to create statistical models and come up with valuable findings.

What is the main difference between a Data Engineer and a Data Scientist?

Yes, coding is essential. A Data Engineer might specialize in languages such as Python, Java, or Scala and SQL with toolkit knowledge of Apache Spark.

Do I need coding skills to become a Data Engineer?

Yes, most Data Engineers join the Machine Learning Engineering field by acquiring other skills such as machine learning, algorithm, deploying models, and optimizing models.

Can a Data Engineer become a Machine Learning Engineer?

ML Engineers make use of some frameworks that include TensorFlow, Keras, PyTorch, and Scikit-learn for the development of machine learning model.

What tools do Machine Learning Engineers use?

Both jobs are popular, however, the growth of Machine Learning and data analysis has greatly contributed to the demand for Machine Learning Engineers. Nevertheless, Data Engineers are the bones of the data process, which puts them on the same level.

Which career is more in demand: Data Engineer or Machine Learning Engineer?

Discover the unique roles of a Data Engineer and Machine Learning Engineer, their responsibilities, skills required, and career prospects.