Software Engineering - Data Products Engineering, Apple Ads
Software Engineering - Data Products Engineering, Apple Ads
Posted on :
02-08-2025
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1 Vacancy
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Job Description
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 Apples scale. We are constantly developing data products to provide amazing user experiences and to drive value for developers and publishers. 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 engineers and product managers to apply leading-edge techniques and technologies that process petabytes of realtime streaming and batch events* Require a strong understanding of the intersection between business analytics and engineering resulting in a proactive approach focusing on reusable solutions to improve efficiency and time to insight* Must be able to work in a rapidly changing environment and perform effectively in a sprint-based agile development environment* Join and contribute to a culture that emphasizes reliability resiliency extensibility scalability and productivity. We are one team nurturing each others growth and supporting each other in delivering for our customers and Apple
- 8 years of industry experience building distributed scalable data pipelines and data platforms
- Proven track record of successful and timely software product delivery with complex dependencies
- Demonstrated innovative critical thinking and troubleshooting skills
- Excellent collaborative skills
- History of motivating teams to meet aggressive goals and innovate
- Proficiency with modern programming languages (e.g. Java/Scala/C) and ease with picking up new technologies independently
- Strong computer science and data engineering fundamentals
- Expertise in data modeling and Iceberg lake house implementation
- Proficiency 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 architecting and supporting scalable data infrastructure
- Passion for data quality code elegance clear documentation cost saving and operational excellence
- Ability to communicate effectively with cross-functional technical and non-technical teams
- Comfortable working in a rapidly changing environment with ambiguous requirements
- Comfortable with rotating on-call for mission-critical applications
- Prior experience in advertising industry is a huge plus!
Employment Type
Full-Time
Key Skills
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