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Apple Media Products (AMP) - Big Data Analyst, Analytics Engineering
Apple, Inc. | |
United States, Washington, Seattle | |
July 19, 2022 | |
Summary
Posted: Mar 29, 2022 Weekly Hours: 40 Role Number:
200359042 Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. In the growing Apple Media Products Analytics Engineering team you will perform data analysis and dig into rich user experience big data, finding out the root cause of data issues, drive ideas to develop robust and creative data quality solutions. You will collaborate with research data scientists and top notch machine learning engineers for building data science and machine learning solutions. Your insights will contribute to the team's data products and platforms quality improvement for Apple's growing service sector such as App Store, Apple Music, Apple TV and Apple Arcade. Our team is geographically diverse. We're looking for someone whose "people skills" complement their technical skills, someone who loves improving things as much as building things, and someone who is passionate about discovering new ways to accelerate the rate at which we can improve our products. If this sounds like you, join our team! Key Qualifications
Description We are looking for an individual with a passion for solving complex data problems with attention to detail and logical thinking skills. You will partner with data engineers and project managers to conduct deep data investigation analysis to contribute data quality innovative improvements for Apple's growing service products. Based on investigation results and work with data scientists, you will design data pipeline important anomaly detection metric's so that team can monitor and detect anomalies earlier. This is a phenomenal opportunity to work on real big data with the latest technologies and contribute Apple's data quality and privacy initiatives. We ideally want someone who can quickly understand the architecture of engineering projects and can explore produced datasets with HDFS command line tool and data querying languages such as Spark SQL, Presto, Dremio. Based on the understanding of data and software engineering architecture, can identify potential areas of risks that could collapse the pipeline or harm a quality of data output. Further to prevent regressions, experience of apply data science concept like machine learning, anomaly detection, user data privacy protection would be ideal. Has a strong skill of engineering project management. Can facilitate of technical and business discussion to determine what is the right technical resolution to tackle business problems. Can quickly learn new data analytics tools to keep up with the rapid evolution of big data solutions - from traditional RDB languages (ex. Oracle SQL, MySQL) to the latest big data analytics languages (ex. Spark RDD & Dataframe with Scala or Python with Pandas/Numpy, R), also being flexible in learning various UI based tools (Splunk, Tableau) as it's needed. Education & Experience Bachelor or Master's degree in related field, such as Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Business Administration, or meaningful industry experience preferred Additional Requirements |