Data Engineer

Summary

Posted: Nov 27, 2024

Role Number:200581147

At Apple, we work every single day to craft products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in the App Store and Apple News. Our platforms are highly-performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. At Apple, we're building the future of advertising, crafting innovative platforms that empower creators and deliver outstanding user experiences. Our team is at the forefront of innovative technology, leveraging machine learning and distributed systems to deliver personalized and privacy-focused advertising solutions.

Description

As a Data Engineer on our team, you'll be instrumental in crafting the future of Apple's advertising platforms. You'll work on highly scalable, low-latency systems that power billions of ad impressions daily. You'll collaborate with world-class engineers to solve complex technical challenges and drive innovation. If you're passionate about building innovative products and shaping the future of advertising, we invite you to join our team! - System Design and Architecture: Design, develop, and optimise highly scalable, distributed systems. Leverage cloud-native technologies and microservices architecture to build robust and resilient solutions. - Data Engineering and ML: Build efficient data pipelines and apply machine learning techniques to enhance ad targeting and measurement. - Problem-Solving and Innovation: Tackle complex technical challenges, drive innovation, and stay up-to-date with emerging technologies. - Collaboration: Work closely with product managers, architects, and other engineers to deliver high-quality solutions.

Minimum Qualifications

• Bachelor's / Master’s degree in Computer Science or equivalent
• 3+ years of software engineering experience, with a focus on distributed systems, cloud technologies, and microservices architecture
• Experience with big data technologies (Hadoop, Spark, Kafka)
• Strong proficiency in Java or Scala
• Deep understanding of cloud platforms (AWS, GCP, Azure)
• Expertise in DevOps technologies (Docker, Kubernetes)
• Proficiency in database technologies (SQL, NoSQL)

Preferred Qualifications

• Knowledge of machine learning frameworks
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Experience in the Ads domain is nice to have