Data Engineer, Apple Ads

At Apple we focus deeply on our customers experience. Apple Ads brings this same approach to advertising helping people find exactly what theyre looking for and helping advertisers grow their technology powers ads and sponsorships across Apple Services including the App Store Apple News and MLS Season Pass. Everything we do is designed for trust connection and impact: We respect user privacy integrate advertising thoughtfully into the experience and deliver value for advertisers of all sizesfrom small app developers to big global brands. Because when advertising is done right it benefits deployed at scale and set new standards for enabling effective advertising while protecting user privacy. nn

The Ad Platforms Data team is seeking a Data Engineer specializing in building high performance data stores to enable next generation analytical this role you will work as a key member of a data-centric team to drive the development execution and continuous improvement of core data infrastructure and processes. You will have a key role in the joint design and development of the data model pipelines implementation and delivery of the analytical data warehouse supporting our suite of customer experiences in addition to ad hoc and advanced will be a key enabler for teams of architects engineers analysts data scientists and business users. A successful candidate will have experience building data processing pipelines data models and managing cloud based data warehouse platforms.

Analyze our data model and infrastructure spotting gaps and suggesting architectural with engineering teams to design and support the next generation of analytics and reporting with product and analytics teams to understand their specific data system and optimize existing data processing tasks recognizing patterns and implementing high performance privacy security scalability and reliability in our solutions!nGuide partners on effective use of the data warehouse platform through knowledge sharing and best work as part of a distributed team.

Minimum 1 years experience in Cloud Data Engineering preferably with a background in computer science mathematics or a related quantitative in building Cloud Data Warehouses in Snowflake Redshift BigQuery or analogous SQL expertise data modeling dimensional modeling and experience with data governance nExperience with the practical application of data warehousing concepts methodologies and frameworksnExperience using data processing tools and technologies such as Python Spark Talend Informatica SSIS or DBT nEmbrace data platform thinking design and develop data pipelines keeping security scale uptime and reliability in mindnAble to confidently express the benefits and constraints of technology solutions to technology partners stakeholders and team degree in Computer Science Software Engineering Computer Engineering or a related technical field or equivalent practical experience.

nExperience designing and operating petabyte-scale data processing expertise in Apache Spark performance tuning and with both batch and real-time/streaming architectures including Kafka and/or building data platforms or processing frameworks that are reused by multiple teams or with AWS technologies including S3 and Kubernetes/EKS or equivalent cloud platforms.