Trust & Safety Data Lake Software Engineer

Apple • Seattle, WA

6d

About The Position

Imagine the possibilities at Apple! New ideas quickly transform into exceptional
products, services, and customer experiences here. With passion and dedication,
you have the potential to achieve great things. The Trust & Safety group plays a
crucial role in protecting Apple services, customers, and developers from fraud
and abuse using cutting edge technologies in Data Science and Machine Learning.
As a member of the Data Lake team you will be responsible for building and
maintaining our data infrastructure that helps protects our billion+ users.

DESCRIPTION

Our ability to acquire, use and govern data at scale is critical in our fight
against fraud and abuse. Our Data Lake is at the heart of our Trust & Safety
ecosystem, and is made-up of high-quality, scalable and resilient platforms and
systems that support analytics, decisioning and operations. We must we be able
to quickly respond to our adversaries, and to do this we support data usage in
different execution contexts such as real-time, near real-time and batch. We use
a diverse range of technologies such as Spark, Flink, Iceberg Tables, Kafka,
Cassandra and Kubernetes to support these data usage patterns and need expertise
in those. This is a software engineering role, where a large part of an
engineer's time is spent writing code with the remainder being spent on
designing and architecting systems, tuning and debugging, supporting production
systems and supporting our data scientists. If you love services, big data,
distributed systems, have an interest in Machine Learning and LLM use at scale
and have a curiosity with the internal workings of these systems, we'd love to
talk with you about joining our team!

Requirements

• 2 or more years experience working on large-scale, enterprise applications on Java/Scala and related technologies
• 2 or more years working with Spark or Flink streaming or batch applications
• MS or BS in Computer Science or related field, or equivalent experience

Nice To Haves

• MS in Computer Science or related field, or equivalent experience with 4 or more years of experience
• At least one year experience in relational and non-relational database systems such as Iceberg, Hadoop and Hive
• Experience in designing and operating highly distributed, scalable and available systems
• Excellent communication skills to facilitate requirements analysis, articulate design and schedule trade-offs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees