At Apple, great ideas have a way of becoming great products and services. If you are a self- motivated and energetic person who is not afraid of challenges, we are looking for you!
Apple is seeking a Data Engineer to join the Data Science & Analytics Organization for Apple Media Products (AMP), covering the App Store, Apple Music, Apple TV, Apple Podcasts, and other services. This role will drive data engineering for large-scale data science and machine learning initiatives across numerous AMP products.
AMP collaborates with executives and various partners across product, design, engineering, and business teams: Our mission is to drive innovation at Apple through in-depth quantitative research of the App Store, Apple Music, Apple TV and Apple Podcasts.
Background in computer science, mathematics, or similar quantitative field with a minimum of 4-6 years professional experience
Proficiency in at least one programming language (e.g., Python, Java, Scala) and rock-solid SQL skills
Experience with workflow scheduling / orchestration such as Airflow or Oozie
Demonstrated ability in Big Data Technologies (Hadoop, MapReduce, Hive etc...).
Spark experience preferred.
We seek the ability to design and implement effective testing and operations strategies for data pipelines and data products
Data visualization experience with tools like Tableau a plus
Experience on Kubernetes, Docker preferred.
Translate business requirements by business team into data and engineering specifications
Build scalable data sets based on engineering specifications from the available raw data and derive business metrics/insights
Work with engineering and business partners to define and implement the data engagement relationships required with partners
Analyze complex data sets, identify and formulate correlational rules between heterogeneous sources for effective analytics
Process, clean and validate the integrity of data used for analysis
Develop Python and Shell Scripts for data ingestion from external data sources for business insights
Education & Experience
Minimum of a Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. Ideally, Masters or Ph.D. in a related field.
Role Number: 200223347