Qualifications: Extensive experience in data engineering, distributed data processing, and expertise in SAP HANA or similar databases. Proficiency in Python (PySpark) is essential; knowledge of Scala and Java is advantageous. Advanced understanding of Spark optimization and scalable data processing techniques. Proven experience in architecting data transformation pipelines. Knowledge of Kubernetes,GitOps, andmodern cloud stacks. Strong understanding of AI & ML technologies and industry trends. Effective communication skills within a global, multi-cultural environment. Proven track record of leadership in data processing and platform initiatives.

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