Data Engineer

• Build business-critical, robust, and self-service data products using Apache Spark, Kafka, Delta Lake, and other big data technologies
• Ensure pipeline performance and data quality through scalable architecture and optimization
• Refine data solutions as business requirements and technical constraints evolve
• Collaborate with teams to understand data needs and support adoption of data products across the company
• Work with modern data stack and AI tools to build complex solutions
• Design solutions to technical challenges and influence platform architecture
• Research, develop, and integrate new data processing tools and technologies

Explore Senior Data Engineer at SOFTSWISS. Review requirements and application details.

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