Key technologies for Data Engineers
In the evolving landscape of Data jobs in Sweden, particularly in Malmö, the most frequently utilized technologies reflect current recruitment trends. SQL leads the charge with a significant presence, showcasing its critical role in data management and analysis with a frequency of 12,023. Following closely, Python is favored for its versatility and strong community support, appearing 14,076 times. ETL processes, essential for data integration, register a frequency of 4,444, while Azure is increasingly adopted in cloud environments, cited 3,117 times. This data underlines the technologies hiring managers should consider when evaluating candidates for Data Engineer positions, as illustrated in the accompanying chart.