About the position
At Apple, new ideas quickly transform into groundbreaking products, services, and customer experiences. Bring passion and dedication to your work, and there’s no telling what can be accomplished. As part of the Supply Chain Innovation team, you will play a pivotal role in building end-to-end, best-in-class software solutions for Apple’s Supply Chain needs, ranging from Supply Planning and Demand Planning to Product Distribution and beyond. You will collaborate with various internal stakeholders to define and implement solutions that optimize Apple’s internal business processes.
Responsibilities
- Develop, and optimize highly scalable, distributed systems, leveraging cloud-native technologies and micro services architecture to build robust and resilient solutions.
- Contribute to proof-of-concept projects and pilot implementations to showcase new ideas.
- Continuously strive for excellence by continuously seeking ways to enhance system reliability, performance, and security.
- Actively contribute to debugging and resolving issues as part of the development process.
- Develop system components and take full responsibility for the timely delivery, quality of the work.
- Collaborate effectively with product owners, developers, QA teams, support teams, and end users.
- Tackle complex technical challenges, drive innovation, and stay up-to-date with emerging technologies.
- Collaborate seamlessly with contractors to ensure smooth project delivery.
- Demonstrate strong multitasking abilities and work independently with minimal supervision.
- Occasionally, will need to handle application production (warranty) support.
- Possess excellent verbal and written communication skills for clear and effective interaction with various teams.
Requirements
- Strong knowledge of data structures, algorithm design, and object-oriented programming.
- Proven track record of designing and implementing scalable, performant data pipelines, data services, and data products.
- Strong aptitude for learning new technologies related to Data Management and Data engineering.
- Hands-on experience with at least one of the programming languages like Python, Java etc.
- Familiarity with Python Data Analytics platforms, including Pandas, DataFrames, and NumPy, is a plus.
- Exposure to cloud computing platforms such as AWS and GCP, with experience in developing tools and services in public cloud environments.
- Experience with Cloud based databases like Snowflake/Redshift is a plus.
- Experience in DB technologies (RDBMS, Key-Value, Document based etc) is desired.
- B.S in Computer Science or equivalent.
Nice-to-haves
- AI/ML related experience is a plus.
- A strong understanding of LLMs, prompt engineering and RAG is a plus.
