Responsibilities of the Candidate:

• Developing application code across a range of people tools and analytics products.
• Work independently to research technology areas and innovate to produce tools & products.
• Translate high level (often vague) requirements into a tangible prototype to drive discussion and further iterations to find the right solution.
• Collaboration and partnership cross-functionally across engineering teams and business teams.
• Assess new tasks coming to the team, quickly assess priority and take appropriate action.
• Manage multiple priorities and setting customer expectations appropriately.
• Fostering a positive, humble and open culture and consistently exhibit Apple values of inclusion, trust and respect for others.

Requirements:

• Relevant industry expertise is required across a number of technology areas as follows:
• SQL, NoSQL languages to query and manipulate large data sets.
• Web development technology including Python Flask, Javascript, jQuery and React.JS.
• CSS framework knowledge such as Bootstrap, Tailwind.
• Data modeling and system design.
• Snowflake or equivalent enterprise data warehouse technology.
• Relational database technologies such as Oracle, MySQL and Postgres.
• Knowledge and experience integrating analytical products with third party utilities using REST API and standard authentication protocols such as OIDC.
• Linux terminal shell operation and scripting.
• Proficient with web security concerns in a web development environment.
• UI/UX design experience.

• Third level masters degree or bachelors degree in computer science, analytics and/or data science is preferred from an education standpoint. In addition the following key areas are a distinct benefit.
• Analytical reporting tools such as Tableau.
• Advanced data processing techniques using Python libraries such as Numpy & Pandas, as well as awareness of data science libraries for use in statistical analysis techniques.
• Github deployment, branching strategies and CI/CD pipeline integration.
• Programming expertise building multi-processing data transformation tools and applications.
• Docker and/or Kubernetes and deployment to cloud based environment such as AWS, Apple Cloud Infrastructure.