Senior Data Engineer

Apple • Austin, TX

2h

About The Position

People at Apple don’t just build products they craft the kind of experience that
have revolutionized entire industries. The diverse collection of our people and
their ideas inspire innovation in everything we do. Imagine what you could do
here! The Apple Services Engineering Security team builds and provides secure
systems and infrastructure that fuel Apple’s services (such as iCloud, iTunes,
Siri, App Store, and Maps). As part of the ASE Security team, you will help
manage the security needs of Apple’s services around the world. You will build
and integrate the security controls, guardrails, and frameworks that help
protect our customers data in Apple’s infrastructure. Your effort will help
build solutions to a variety of outstanding security challenges in Software
Supply Chain, Security Posture, and Risk Management. Join us, and you’ll play a
meaningful role in ensuring the highest standard of security for one of the
most-watched companies in the world.

DESCRIPTION

We’re looking for exceptional data engineers who have a strong background in
distributed data processing, great and demonstrable data intuition, and share
our passion for continuously improving the ways we use data to make the Apple’s
products, applications, and platform secure, safe, and better.

Requirements

• 5+ years of experience working with Spark and other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines
• Highly proficient in at least one of the following languages: Java, Python or Scala
• Deep expertise in Data Principles, Data Architecture & Data Modeling
• Strong SQL skills
• Familiar with AWS cloud resources (S3, EC2, RDS etc)
• MS or BS or equivalent experience in Computer Science, Engineering, Mathematics, Statistics or a related field OR equivalent practical experience in Software or Data Engineering

Nice To Haves

• Experience with Cloud Computing platforms like Amazon AWS, Google Cloud
• Experience with OSI model and understanding of how network works (Load Balancer, Routers, network tagging, NetFlow)
• Understanding of the full technology stack (from BMCs, Firmware, to OS layer, to containers and applications) primitives
• Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others
• Experience with Search systems (such as ElasticSearch, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB)
• Experience building distributed, high-volume data services

What This Job Offers

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