Apple
Software Engineering - Data Products Engineering, Apple Ads
Austin, Texas, United States Software and Services 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 Apple's 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 Minimum Qualifications
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 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 Preferred Qualifications
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! Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . #J-18808-Ljbffr
Austin, Texas, United States Software and Services 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 Apple's 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 Minimum Qualifications
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 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 Preferred Qualifications
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! Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . #J-18808-Ljbffr