Cloud Data Engineer - GBI
London, Greater London, United Kingdom
Corporate Functions
Here at Apple new ideas have a way of becoming great products and tools very quickly, and innovation never stops. Should you bring passion and dedication to your job and there's no telling what you could accomplish.
The Global Business Intelligence team is responsible for reporting and Machine Learning in Apple’s Sales & Finance for more than 5,000 internal employees.
Our team builds lots of in-house reporting solutions which starts from data induction/aggregation then goes on to UI development and ends with actionable Insights. Someone who is familiar with End to End flow of creating a reporting solution and analytics would be a good fit.
Key Qualifications
- Minimum of 3-5 years experience in Cloud Database technologies like Snowflake & Singlestore
- Experience on cloud based technologies like AWS is a must
- Hands on experience on Business Intelligence & Reporting projects
- Hands on experience and proved competence in Python is a plus.
- Knowledge about unstructured data analysis concepts and methodologies is a plus
- Strong Sales and Finance reporting understanding is a plus
Description
Data Analytics and reporting through an intuitive and clean UI is at the core of our work and that’s why we are looking for an enthusiastic Cloud Data Engineer to join the team and:
- Help design and build large scale internal reporting solutions that combine Cloud technologies, large datasets, ML solutions and advanced analytics.
- Help in developing/Improving some of our existing enterprise solutions
- Database Standardisation of our existing solutions using best practices and guidelines to achieve top notch performance and the best possible user experience
- Communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
- Be part of a multidisciplinary team, passionate for technology, R&D and Data Science.
- Be capable of assuming projects tasks with a high degree of diligence and autonomy.
Education & Experience
Degree in Computer Science, or similar disciplines. Other and equivalent backgrounds may be considered.
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