This role at Apple involves designing and developing software solutions and data models to enhance business analytics and improve data accessibility. The position requires collaboration with cross-functional teams to build reporting tools and dashboards that facilitate data-driven decision-making. The successful candidate will also optimize database performance and develop custom frameworks for monitoring and analysis. This role is crucial for ensuring data security and compliance while supporting the adoption of new tools and processes.

• Bachelor's degree or foreign equivalent in Electronic Engineering, Electrical Engineering, or a related field.
• 5 years of progressive, post-baccalaureate experience in the job offered or related occupation.
• Experience in designing and supporting cloud-based data platforms using AWS services.
• Proficiency in building scalable data transformation pipelines using Spark and related technologies.
• Experience in maintaining enterprise data warehouses and enabling analytics using MPP architecture.

• Design and develop software solutions and data models for business analytics.
• Collaborate with cross-functional teams to improve data accessibility and usability.
• Build reporting tools and dashboards to track platform usage and performance.
• Optimize database, ETL, and query performance through analysis and tuning.
• Implement workload management strategies to meet response-time SLAs.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.