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Apple Inbound Transportation Global Supply Manager United States, California, Sunnyvale 831588096
Today
- Design and develop scalable, parallelized data systems to process complex, time-series health data captured from consumer-grade sensors.- Implement robust ETL pipelines using distributed computing frameworks such as Apache Spark to ingest and transform binary and proprietary data formats.- Collaborate with study stakeholders to gather requirements and contribute to the study design process, ensuring data architecture supports evolving research needs.- Build tools and dashboards to visualize health data and support data exploration, analysis, and research insights.- Work closely with cross-functional teams including Software, Algorithms, and Quality Engineering to support design, integration, testing, and deployment of health data solutions.- Own and evolve data architecture by driving standardization and reusability across studies, contributing to the development of a company-wide health data platform.
- BS degree in Computer Science, Engineering, Data Science, or a related technical field.
- Minimum of 3 years relevant industry experience building and maintaining data pipelines or distributed data systems.
- Proficiency in Python and strong programming skills with a focus on writing clean, maintainable, and high-performance code.
- Familiarity in SQL for querying, transforming, and analyzing structured data.
- Hands-on experience with distributed computing frameworks like Apache Spark.
- Experience with ETL development, data modeling, and data transformation workflows.
- Experience working with sensor data, time-series data, or healthcare datasets.
- Experience working in cloud-based environments (e.g., AWS, GCP, or Azure) and with containerization tools like Docker and Kubernetes.
- Familiarity with job orchestration tools such as Apache Airflow or similar workflow schedulers.
- Comfort working in Linux-based environments, including scripting, system navigation, and basic troubleshooting.
- Exposure to clinical studies, FDA validation processes, or working in regulated health environments.
- Strong communication and collaboration skills; ability to work cross-functionally with technical and non-technical partners.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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