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Apple People Technology Data Engineer Ireland, Cork 678303111
06.02.2025
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Description
The role requires a technical expert in data engineering techniques including data modelling, data pipeline development, data transformation and model performance optimisation leveraging a variety of different data analytics infrastructure technologies & tools. On a day to day basis the right person for this role will be involved in the following tasks.• Developing application code across a range of people tools and analytics products• Work independently to research technology areas and innovate to produce analytics 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.• Manage 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.• Mentor new members of the team on data architecture best practices, analytics product design and software development techniques.• Partner with the People Services & Technology team to build out the team in India with the necessary data analytics infrastructure to enable scale for the future.
Minimum Qualifications
- SQL, NoSQL languages to query and manipulate large data sets.
- Web development technology such as PHP, Python Flask, Javascript, jQuery and knowledge of application frameworks such as React. JS or similar.
- Snowflake or equivalent enterprise data warehouse technology
- Relational database technologies such as Oracle, MySQL and Postgres.
- Docker and/or Kubernetes and deployment to cloud based environment such as AWS, Apple Cloud Infrastructure.
- 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.
Preferred Qualifications
- Analytical reporting tools such as Tableau.
- 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.
- Third level master’s 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.
- At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.
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