At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is crafted for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. The Ad Platforms Data team is seeking a Data Engineer specializing in building high performance data stores to enable next generation analytical solutions. In 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 sophisticated analytics. You 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 handling cloud based data warehouse platforms.

DESCRIPTION

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

MINIMUM QUALIFICATIONS

• Minimum 5+ years experience in Cloud Data Engineering, preferably with a background in computer science, mathematics, or a related quantitative field.
• Expertise in building Cloud Data Warehouses in Snowflake, Redshift, BigQuery or analogous architectures.
• Deep SQL expertise, data modeling, dimensional modeling and experience with data governance
• Experience using data processing tools and technologies such as Python, Spark, Talend, Informatica, SSIS or DBT

PREFERRED QUALIFICATIONS

• Experience with the practical application of data warehousing concepts, methodologies, and frameworks
• Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind
• Able to expertly express the benefits and constraints of technology solutions to technology partners, collaborators, and team members.

Please refer the Job description for details