The Apple Media Products Commerce Engineering team is looking for an experienced, hardworking and proactive software engineer to lead several data architecture and technical compliance efforts across the commerce landscape. Join our exciting engineering team that has been owning the digital distribution industry by constantly developing innovative features to grow and expand the iTunes Store, App Store, iBooks Store and services such as Apple Music, TV+ and Arcade.
The position requires someone comfortable with all aspects of the software design lifecycle and experienced with high performance data distributed systems. If you thrive in a dynamic multi-functional environment and are able to pivot with constantly evolving requirements and new technologies, you'll love it here.
5+ years of experience in developing ETL jobs for analyzing and processing high-volume data in Apache Hadoop ecosystem using Spark and Kafka
Expert knowledge of one or more object-oriented programming languages (Scala/Java)
Proficient at schema design, data modeling concepts and SQL
Excellent problem-solving and analytic skills
Ability to program in scripting languages such as Python
Experience with workflow management tools: Azkaban, Oozie, Airflow etc.
Experience using NoSQL solutions like Cassandra, Voldemort, Memcached
Expert with streaming and batch data processing
Ability to learn and research new technologies rapidly
Passion for customer privacy and experience with applying data encryption and data security standards
Strong interpersonal skills and experience working on multi-functional projects
Developed large-scale backend storage systems
You will be an integral part of the team that is in a unique position to develop and build the commerce data platform. You will participate in the instrumentation and ingestion of events. You will collaborate with partners on data pipelines and datasets and ensure that data is handled in a privacy-safe manner. This platform allows downstream customers to utilize the unified data foundation to achieve consistency, quality, and efficiency. You will have experience to design and implement large scale commerce datasets and backend services. Those data systems will be utilized by many downstream teams for data analysis, metric reporting, data insights, model training and evaluation. You will implement data storage solutions that scale, enrich and surface data quality and pipeline metrics. In addition, you must be able to investigate and adopt new technology, be comfortable working in a fast-paced environment, and have a "can-do" attitude.
Education & Experience
MS/BS in Computer Science/Software Engineering or equivalent. MS preferred.