Key technologies for Data Engineers
In the current landscape of the data job market in Poland, certain technologies emerge as pivotal tools for professionals. SQL leads the way with a substantial usage frequency of 11,974, underscoring its critical role in data manipulation and query. Closely following are Python and ETL, with frequencies of 14,061 and 4,460 respectively, highlighting their importance in data processing and automation. Additionally, AWS and Azure are vital cloud platforms utilized in data projects, with frequencies of 3,223 and 3,067 respectively, indicating the shift towards cloud-based solutions. These insights are further illustrated in the accompanying chart, which delineates the frequency of various technologies in the data engineering sector.