Key technologies for Data Science Engineers
In the dynamic landscape of the Data Data Science Engineer job market in Slovenia, particularly in Ljubljana, several technologies are prevalent. Notably, the use of Python stands out with a frequency of 12,546, underscoring its significance in data manipulation and analysis. Following closely, Machine Learning, with 4,511 mentions, reflects the growing emphasis on advanced analytics. SQL, utilized 4,356 times, remains a cornerstone for handling and querying data. Meanwhile, Java and C++ are also prominent, with frequencies of 4,438 and 2,466, respectively, indicating their ongoing relevance in software development for data-driven applications. This insight aligns with the accompanying chart, which details the usage frequency of these technologies.