Data Engineer

Education and academic qualifications:

Bachelor's degree usually in computer science, information technology, data science, or similar field.
Advanced degree (Master's or PhD) in data, statistical analysis, or related field preferred.
Technical skills:

Proficiency in programming languages ​​such as Python, R, SQL, and Scala.
Deep understanding of data analysis technologies and tools such as Hadoop, Spark, Kafka, and others.
Experience in various databases and related tools such as MySQL, MongoDB, etc.
Knowledge of statistical and mathematical analysis:

Deep understanding of statistical analysis and advanced mathematics concepts associated with data science.
Ability to apply statistical models, machine learning techniques and artificial intelligence.