Key technologies for Data Engineers
In analyzing the current data job market in Portugal, several technologies emerge as pivotal for Data Engineers. SQL leads the pack with a significant usage frequency of 11,974, underscoring its fundamental role in database management and data manipulation. Followed closely are Python and Data Engineering, with frequencies of 14,061 and 4,059 respectively, indicating a strong preference for programming and core data engineering skills. The relevance of ETL processes is highlighted by its frequency of 4,460, essential for data integration and preprocessing. Additionally, AWS and Azure also dominate the landscape, with frequencies of 3,223 and 3,067, reflecting a growing reliance on cloud technologies for data solutions. These findings are further illustrated in the accompanying chart.