Key technologies for Data Engineers
In the evolving Data job market in Serbia, particularly in Belgrade, various technologies play a crucial role in shaping the skills demanded by employers. The most prominent technology is SQL, with a usage frequency of 7824, highlighting its centrality in data management and querying. Python follows closely, utilized in a wide range of applications, boasting a frequency of 8339, and thus representing a key programming language for Data Engineers. Additionally, Data Engineering emerges as a significant area, with a frequency of 3748, reflecting the growing need for professionals capable of constructing and maintaining data architectures. AI and Machine Learning are also notable, with frequencies of 1795 and 3002 respectively, signaling a shift towards more advanced analytical capabilities. Lastly, tools associated with data manipulation and transformation like ETL, recorded at 3112, demonstrate the necessity for comprehensive data processing expertise. These technologies are pivotal as hiring managers and recruiters strategize around recruitment for Data Engineer roles in Serbia Belgrade, as detailed in the accompanying chart.