Key technologies for Data Engineers
In analyzing the data job market trends in Estonia, several key technologies emerge as critical for Data Engineers. SQL stands at the forefront with 11,974 mentions, highlighting its fundamental role in data management. Following closely, Python, with 14,061 occurrences, remains a favored choice among Data Developers for its versatility and ease of use. Additionally, AWS (3,223) and Azure (3,067) are pivotal cloud platforms, increasingly utilized for data storage and analytics. The demand for tools like ETL (4,460) and Data Engineering (4,059) also reflects the focus on data processing and transformation capabilities. These insights, illustrated in the accompanying chart, can guide hiring managers in understanding the competencies essential for their teams.