Senior Data Platform Engineer
Job Description
Summary
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something!
The Apple Maps Data Infrastructure team needs exceptional engineers to help build capabilities across a spectrum of technologies in a hybrid-cloud environment. As a key contributor, you will be at the forefront of shaping the technological landscape, focusing on data infrastructure, batch processing, real-time processing, and data Lakehouse technologies. This role offers a great opportunity to power a variety of business units through technological innovation at Apple. The team is committed to support the Apple Maps business by building technological capabilities that not only enable the business operations but also optimize infrastructure efficiency. We are facing challenges every day to deal with data at an extensive scale. That is why we are looking for strong engineers who love solving challenging problems through conducting independent research and collaborating with teams across Apple.
As a senior member of our team, you will be at the forefront of tackling challenging problems and addressing a wide array of use cases. Your role involves delivering innovative solutions, providing insightful perspectives on emerging technologies, and making platform-level impacts. This is an opportunity to work on innovative projects that demand creativity, strategic thinking, and a commitment to excellence. If you\'re ready to embrace diverse challenges, contribute to groundbreaking solutions, and be a driving force behind technological advancements, we invite you to join us on this exciting journey!
The Apple Maps Data Infrastructure team needs exceptional engineers to help build capabilities across a spectrum of technologies in a hybrid-cloud environment. As a key contributor, you will be at the forefront of shaping the technological landscape, focusing on data infrastructure, batch processing, real-time processing, and data Lakehouse technologies. This role offers a great opportunity to power a variety of business units through technological innovation at Apple. The team is committed to support the Apple Maps business by building technological capabilities that not only enable the business operations but also optimize infrastructure efficiency. We are facing challenges every day to deal with data at an extensive scale. That is why we are looking for strong engineers who love solving challenging problems through conducting independent research and collaborating with teams across Apple.
As a senior member of our team, you will be at the forefront of tackling challenging problems and addressing a wide array of use cases. Your role involves delivering innovative solutions, providing insightful perspectives on emerging technologies, and making platform-level impacts. This is an opportunity to work on innovative projects that demand creativity, strategic thinking, and a commitment to excellence. If you\'re ready to embrace diverse challenges, contribute to groundbreaking solutions, and be a driving force behind technological advancements, we invite you to join us on this exciting journey!
Description
We are looking for an exceptionally curious and motivated candidate who is excited by the opportunity to rapidly build the reputation of subject matter of expert in data processing platform across the org. You will collaborate with a wide range of internal teams, listening intently to understand their problems and true underlying needs. Using your problem-solving abilities, you will draw insights that enable you to scope, architect, and deliver innovative high-quality solutions.
This role offers substantial scope for capability-building across multiple domains and technologies, learning deeply from our expert teams of developers, data engineers, and data scientists. The candidate is expected to have strong fundamentals in data domains that will facilitate self-directed learning driven by intellectual curiosity. We provide a collaborative environment that empowers you to expand your expertise rapidly. You will engage broadly across the organization, using excellent communication skills to translate needs into solutions. If accelerating your learning excites you and you aspire to become a leading authority in multiple technology spheres, this is the opportunity for you.
This role offers substantial scope for capability-building across multiple domains and technologies, learning deeply from our expert teams of developers, data engineers, and data scientists. The candidate is expected to have strong fundamentals in data domains that will facilitate self-directed learning driven by intellectual curiosity. We provide a collaborative environment that empowers you to expand your expertise rapidly. You will engage broadly across the organization, using excellent communication skills to translate needs into solutions. If accelerating your learning excites you and you aspire to become a leading authority in multiple technology spheres, this is the opportunity for you.
Minimum Qualifications
- 6+ years of hands-on experience in the realm of large-scale data processing infrastructure, showcasing a robust understanding of the complexities associated with such environments.
- Familiarity with a diverse set of technologies, including but not limited to Spark, Flink, Trino, Kafka, Iceberg, in the big data ecosystem.
- Strong hand-on programming skills, particularly in Java or other JVM languages, showcasing the ability to develop robust, scalable, and maintainable codebases for intricate data infrastructure.
- A strong sense of ownership and an unwavering commitment to excellence in all aspects of work.
- A customer-focused approach, combined with excellent listening skills and a deep understanding of user requirements. Be adept at translating user needs into actionable solutions and acting as a subject matter expert in customer discussions.
- Exhibit proficiency in scoping and prioritizing tasks with a focus on incremental delivery and an iterative approach, ensuring adaptability to evolving project requirements.
Preferred Qualifications
- Experience with public cloud systems, particularly in AWS or GCP environments, is a great plus.
- Knowledge of Kubernetes is a significant plus.
- Proactive engagement with open-source community, aligning business objectives with the principles of collaborative development and innovation.
- (Nice to have) Experience with GPU / training / LLM / Inferencing
