Summary

Posted: Oct 31, 2024

Weekly Hours: 40

Role Number:200575070

Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple's WW Channel Strategy & Operations (CSO) organization focuses on developing and deploying worldwide sales programs and standard processes to deliver an extraordinary customer experience in the channel and drive Apple Channel sales. With deep functional expertise in digital, physical, and people enablement spaces, our WW CSO team closely collaborates with many cross-functional groups at world-wide and regional levels. We are looking for a big-data engineer to help develop data-infrastructure capabilities in a hybrid-cloud environment and create the technological landscape needed to support batch processing, real-time processing, and data lake technologies and processes.

• Bachelor's or Master's degree in Computer Science, Information Systems, Software Engineering, Data Science, or a related field
• 5+ years experience in building and maintaining large-scale ETL/ELT pipelines (batching and/or streaming) that are optimized for performance and can handle data from various sources, structured or unstructured
• Experience building and interacting with Cloud APIs for AWS and GCP

• Hands-on experience in the realm of large-scale data processing infrastructure, including building and maintaining API-driven services
• Strong hands-on programming skills with a track record of developing robust, scalable, and maintainable codebases for intricate data infrastructure
• Ability to lead technical discussions about data architecture and data integration
• Familiarity with other related fields, such as data science, machine learning, and artificial intelligence, to design solutions that can accommodate advanced analytics
• Familiarity with a diverse set of technologies, including but not limited to Spark, Flink, Trino, Kafka, Iceberg, in the big-data ecosystem

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.