Pros
Good exposure to modern data engineering tools and cloud platforms. Strong hands-on work with Databricks, SQL, data pipelines and ETL processes. Supportive team culture and good collaboration between data, BI and analytics teams. Opportunities to work on real business use cases such as reporting, analytics and data transformation. Good learning curve for someone building a career in data engineering.
Cons
There are currently no major cons and the work environment is positive overall.