Senior Engineer, Data Engineering

Preferred Qualifications

• Experience with orchestration tools such as Airflow or ADF pipelines.
• Expertise in Databricks, Delta Lake, Unity Catalog and Azure Data Services
• Knowledge of real-time streaming tools (Kafka, Event Hub, HVR).
• Exposure to APIs, data integrations, and cloud-native architectures.
• Familiarity with enterprise data ecosystems (S/4 HANA, BDC)
• Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
• Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.