5+ years of proven experience designing, implementing, and optimizing large-scale data-driven platforms and frameworks, APIs, services, and tools
Thorough understanding of backend architecture, privacy-preserving data practices, and large-scale system design
Strong programming skills in Swift, with Python experience being highly valued
Experience in designing and building scalable ETL pipelines, high-performance data stores, and automated workflows
Experience building dashboards and analytics solutions using tools like Tableau, Grafana, Superset, or Splunk to visualize KPIs and monitor data quality
Demonstrated success in collaborating cross-functionally with engineering, machine learning, and data science teams to solve sophisticated challenges
BS/MS or equivalent experience in Computer Science, Engineering, or a related field
Deep understating about large scale data validation platforms with focus on privacy
Experience building and deploying applications with Kubernetes
Knowledge of statistics-based evaluation approaches, ML training pipelines, and techniques for enhancing the accuracy of ML systems
Strong attention to detail and proven track record of delving into data, uncovering hidden patterns, and conducting comprehensive error/deviation analysis
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.