Software Engineering Manager, Apple Services Engineering

Do you have a passion for data and how it can be used to improve customer experience protect user privacy make products better and increase revenue for a business Do you thrive in working with engineers project managers QA and SRE in an agile distributed and project focused work environment Do you want to make an impact in growing Analytics Engineering at Apple If so join us! Apple is seeking an experienced caring transparent and engineering focused Manager to lead the Analytics Commerce area for Apple Media Products. We collect store engineer analyze and report on data from Apple devices and Apple services at Big Data scale. We create batch and streaming solutions using Spark Flink Hadoop Cassandra Kafka Java/Scala and other state of the art technologies in a cloud-hosted infrastructure environment. Come join us and make a difference in how Analytics Engineering is done at the biggest company in the world!

As a Engineering Manager focused on Commerce Analytics you will have significant responsibility and influence in shaping its strategic direction. This role is inherently multi-functional and the ideal candidate will work across disciplines. We are looking for someone with a love for data and the ability to iterate quickly. This position involves hiring and working with small engineering teams to develop large-scale Data Pipelines and Analytical solutions using Big Data technologies. Successful candidates will have strong engineering skills and communication and a belief that data-driven processes lead to phenomenal products.

Bachelors or Masters degree in Computer Science related field or equivalentn7 years of experience in Software Engineering with 2 years as an Engineering Managern2 years working with Commerce and Analytics data like downloads purchases transactions subscriptions and clickstreamnExperience working with PII and GDPR data nExperience in hiring growing and mentoring high-performing teamsnExperience partnering with Data Engineers Engineering Managers EPMs QA SRE and Analytics teams on new batch u0026 streaming data pipelines nExperience using tech solutions like Git Gradle Airflow and Kubernetes to build u0026 deploy apps and jobs on cloud-hosted servicesn

Proficiency in distributed data processing using Big Data technologies like Spark/Scala Java/Flink Hadoop/HDFS/S3 Cassandra and Kafka nProficiency in data modeling data design SQL and NoSQL databasesnExcellent interpersonal skillsnAbility to communicate effectively both written and verbal with technical and non-technical partnersnAbility to deliver consistent high quality results while working in a dynamic u0026 fast environmentnPassionate curious and seeking to tackle everyday problems with innovation