At Apple Ads, we are building the next generation of privacy-focused advertising capabilities. As a part of the data organization, we work at the cutting edge of data engineering, machine learning, and privacy at Apple's scale. We are constantly developing data products to provide amazing user experiences and to drive value for developers and publishers. We are looking for a Software Engineer to build the future of our real-time stream processing systems. As a part of this team, you will
- Engineer secure and scalable data processing systems across different execution contexts such as real-time, near real-time, and batch using Spark, Hadoop, Kafka, Cassandra and beyond.
- Collaborate with a team of world-class data infrastructure engineers and product managers to apply leading-edge techniques and technologies that process petabytes of realtime streaming events.
You will join and contribute to a culture that emphasizes reliability, resiliency, extensibility, scalability, and productivity. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers and Apple.
3+ years of industry experience building scalable data pipelines and data platforms
Strong computer science and data engineering fundamentals
Expertise in programming languages such as Python/Java/Scala
Expertise in NoSQL datastores (e.g. Cassandra, Keyspaces, ElastiCache)
Expertise in relational databases and SQL
Expertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)
Experience building and scaling systems on premise and in the cloud
Strong technical skills with proven experience developing and supporting scalable data infrastructure
Ability to communicate effectively with multi-functional technical and non-technical teams
Prior experience in advertising industry is a huge plus!