Proven ability to go beyond delivering specific requests by developing a suite of relevant and impactful data products that inform and influence decisions.
Expert knowledge and experience in applying data design frameworks and processes, collaborating effectively with cross-functional teams.
8+ years of experience in data engineering and data visualization, with a strong track record of managing the delivery of complex data and developing extensible visualization tools.
Extensive experience in creating visually compelling and user-friendly representations of data to effectively communicate key insights.
Proficiency with tools such as Tableau, Superset, Looker, or similar platforms.
Advanced ability to query and manipulate large datasets using SQL, Python, Scala, or other programming languages.
Hands-on experience with Spark or other distributed computing frameworks.
Strong problem-solving skills and meticulous attention to detail, capable of tackling loosely defined problems effectively.
Outstanding communication skills, with the ability to engage broadly across diverse teams to unlock critical data and business outcomes.
Proactive and curious mindset with a passion for leveraging data to drive decision-making.
MS or BS in Computer Science, Engineering, Mathematics, Statistics or a related field OR equivalent practical experience in Software or Data Engineering or Data Visualization.
Experience with custom visualization frameworks and tools (e.g., D3.js, JavaScript, etc.).
Experience with Cloud Computing platforms like Amazon AWS, Google Cloud, Microsoft Azure etc.
Experience building data solutions to support machine learning, and experimentation workflows.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.