Summary from listing
The role designs and implements large-scale data processing solutions with Databricks, builds and enhances data pipelines using Python and cloud-native tools, collaborates with solution architects on data-engineering best practices, and ensures data consistency, security, and scalability in cloud environments. It requires at least one year of hands-on Databricks experience, Python expertise, experience with a major cloud platform, and strong communication and English skills. The position offers a hybrid work model after onboarding and includes medical care, private life insurance, and other employee benefits.
