Staff Software Engineer - Data Platform (relocation to dubai)

About the Role

We are looking for a highly experienced Engineer to join our Data and ML Platform team. Our mission is to simplify big data complexities and deliver fast, secure, and reliable access to data at scale. You’ll be part of a core team building modern, distributed data systems that power real-time insights and applications across the business.

This position is part of the Data Processing & Computation Platform group, where you’ll work hands-on with open-source technologies such as Apache Spark, Apache Kafka, and Apache Trino. You’ll also have the opportunity to contribute to and engage with the global open-source community.

Key Responsibilities

• Architect, design, and implement scalable data infrastructure and reusable components.
• Develop and test rapid prototypes that demonstrate data-driven value to stakeholders.
• Optimize compute workloads by improving performance, resource utilization, and scalability.
• Build robust, reusable, and production-grade data pipelines.
• Continuously refine engineering processes, tools, and testing practices to enhance team efficiency.
• Collaborate with globally distributed teams in a fast-moving environment.
• Stay ahead of industry trends, bringing innovative solutions to complex data challenges.

Requirements

• 10+ years of hands-on experience in software development.
• Bachelor’s degree in Computer Science or a related technical field.
• Strong programming expertise in Scala, Java, or similar languages.
• Proven track record building distributed systems or working on large-scale projects.
• Deep understanding of cloud-native big data technologies.
• Strong foundation in software engineering principles and design best practices.
• Experience with cloud platforms (AWS, GCP, etc.) and/or database internals such as query optimization.
• Contributions to open-source projects are highly desirable.
• Experience with Docker and Kubernetes is a plus.
• Passion for writing high-quality, maintainable, performant software in a collaborative setting.