Key technologies for Data Engineers
In the competitive Data Engineers job market in the Netherlands, particularly in Amsterdam, certain technologies emerge as essential for candidates. The demand for SQL leads the charge, reflected in its usage frequency of 12,035, making it a foundational skill for data roles. Python follows closely with 14,078 mentions, highlighting its relevance in data manipulation and analysis. ETL processes, vital for data integration, also show significant demand with 4,460 occurrences. Additionally, technologies like AWS, Azure, and Data Engineering contribute to the technological landscape, further evidencing the evolving requirements for Data Developer opportunities in Netherlands Amsterdam. This analysis is supported by the accompanying chart, which visualizes the frequency of these technologies utilized in the sector.